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ORCID21st AAAI / 18th IAAI 2006: Boston, Massachusetts, USA
- Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA. AAAI Press 2006
Invited Talk
- Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla:
Unifying Logical and Statistical AI. 2-9
Technical Papers
Constraint Satisfaction and Satisfiability
- Carlos Ansótegui, Ramón Béjar, Cèsar Fernández, Carla P. Gomes, Carles Mateu:
The Impact of Balancing on Problem Hardness in a Highly Structured Domain. 10-15 - Marco Benedetti:
Abstract Branching for Quantified Formulas. 16-21 - Simon de Givry, Thomas Schiex, Gérard Verfaillie:
Exploiting Tree Decomposition and Soft Local Consistency In Weighted CSP. 22-27 - Robert T. Effinger, Brian Charles Williams:
Extending Dynamic Backtracking to Solve Weighted Conditional CSPs. 28-35 - Paul Elliott, Brian C. Williams:
DNNF-based Belief State Estimation. 36-41 - Hélène Fargier, Pierre Marquis:
On the Use of Partially Ordered Decision Graphs in Knowledge Compilation and Quantified Boolean Formulae. 42-47 - Carmen Gervet, Pascal Van Hentenryck:
Length-Lex Ordering for Set CSPs. 48-53 - Carla P. Gomes, Ashish Sabharwal, Bart Selman:
Model Counting: A New Strategy for Obtaining Good Bounds. 54-61 - Tarik Hadzic, Henrik Reif Andersen:
A BDD-Based Polytime Algorithm for Cost-Bounded Interactive Configuration. 62-67 - Federico Heras, Javier Larrosa:
New Inference Rules for Efficient Max-SAT Solving. 68-73 - T. K. Satish Kumar:
Simple Randomized Algorithms for Tractable Row and Tree Convex Constraints. 74-79 - J. H. M. Lee, C. F. K. Siu:
Weighted Constraint Satisfaction with Set Variables. 80-85 - Chu Min Li, Felip Manyà, Jordi Planes:
Detecting Disjoint Inconsistent Subformulas for Computing Lower Bounds for Max-SAT. 86-91 - Zhijun Lin, Yuanlin Zhang, Hector Hernandez:
Fast SAT-based Answer Set Solver. 92-97 - Lengning Liu, Miroslaw Truszczynski:
Local-Search Techniques for Boolean Combinations of Pseudo-Boolean Constraints. 98-103 - Inês Lynce, João Marques-Silva:
Efficient Haplotype Inference with Boolean Satisfiability. 104-109 - Michael D. Moffitt, Martha E. Pollack:
Temporal Preference Optimization as Weighted Constraint Satisfaction. 110-116 - Jean-François Puget:
An Efficient Way of Breaking Value Symmetries. 117-122 - Claude-Guy Quimper, Alejandro López-Ortiz, Gilles Pesant:
A Quadratic Propagator for the Inter-Distance Constraint. 123-128 - Tran Cao Son, Enrico Pontelli, Phan Huy Tu:
Answer Sets for Logic Programs with Arbitrary Abstract Constraint Atoms. 129-134 - Matthew J. Streeter, Stephen F. Smith:
An Asymptotically Optimal Algorithm for the Max k-Armed Bandit Problem. 135-142 - Lintao Zhang:
Solving QBF by Combining Conjunctive and Disjunctive Normal Forms. 143-150
Human Computer Interaction and Cognitive Modeling
- Carole R. Beal, Lei Qu, Hyokyeong Lee:
Classifying Learner Engagement through Integration of Multiple Data Sources. 151-156 - Li Chen, Pearl Pu:
Evaluating Critiquing-based Recommender Agents. 157-162 - Jeffrey Johns, Beverly Park Woolf:
A Dynamic Mixture Model to Detect Student Motivation and Proficiency. 163-168 - Ron Katz, Sarit Kraus:
Modeling Human Decision Making in Cliff-Edge Environments. 169-174 - Carlos Martinho, Ana Paiva:
Using Anticipation to Create Believable Behaviour. 175-180 - Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer:
Extracting Knowledge about Users' Activities from Raw Workstation Contents. 181-186 - Bradford W. Mott, Sunyoung Lee, James C. Lester:
Probabilistic Goal Recognition in Interactive Narrative Environments. 187-192 - Subramonia Sarma, Yoonsuck Choe:
Salience in Orientation-Filter Response Measured as Suspicious Coincidence in Natural Images. 193-198 - Marc T. Tomlinson, Bradley C. Love:
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples. 199-204 - Paolo Viappiani, Boi Faltings, Pearl Pu:
Evaluating Preference-based Search Tools: A Tale of Two Approaches. 205-212
Knowledge Representation and Logic
- Alexandre Albore, Natasha Alechina, Piergiorgio Bertoli, Chiara Ghidini, Brian Logan, Luciano Serafini:
Model-Checking Memory Requirements of Resource-Bounded Reasoners. 213-218 - Leila Amgoud, Henri Prade:
Explaining Qualitative Decision under Uncertainty by Argumentation. 219-224 - Yolifé Arvelo, Blai Bonet, Maria-Esther Vidal:
Compilation of Query-Rewriting Problems into Tractable Fragments of Propositional Logic. 225-230 - Chitta Baral, Jicheng Zhao:
Goal Specification, Non-Determinism and Quantifying over Policies. 231-237 - Thomas Eiter, Kewen Wang:
Forgetting and Conflict Resolving in Disjunctive Logic Programming. 238-243 - Martin Gebser, Joohyung Lee, Yuliya Lierler:
Elementary Sets of Logic Programs. 244-249 - Georg Gottlob, Reinhard Pichler, Fang Wei:
Bounded Treewidth as a Key to Tractability of Knowledge Representation and Reasoning. 250-256 - Aaron Hunter, James P. Delgrande:
Belief Change in the Context of Fallible Actions and Observations. 257-262 - Gerhard Lakemeyer, Hector J. Levesque:
Towards an Axiom System for Default Logic. 263-268 - Thomas Andreas Meyer, Kevin Lee, Richard Booth, Jeff Z. Pan:
Finding Maximally Satisfiable Terminologies for the Description Logic ALC. 269-274 - Magdalena Ortiz, Diego Calvanese, Thomas Eiter:
Characterizing Data Complexity for Conjunctive Query Answering in Expressive Description Logics. 275-280 - Guilin Qi, Weiru Liu, David A. Bell:
Merging Stratified Knowledge Bases under Constraints. 281-286 - Stephan Schiffel, Michael Thielscher:
Reconciling Situation Calculus and Fluent Calculus. 287-292 - Ke Wang, Yabo Xu, Rong She, Philip S. Yu:
Classification Spanning Private Databases. 293-298 - Michael J. Wooldridge, Paul E. Dunne, Simon Parsons:
On the Complexity of Linking Deductive and Abstract Argument Systems. 299-304 - Peter Z. Yeh, Bruce W. Porter, Ken Barker
:
A Unified Knowledge Based Approach for Sense Disambiguation and Semantic Role Labeling. 305-311
Machine Learning
- Fabrizio Angiulli:
Clustering by Exceptions. 312-317 - Sooraj Bhat, Charles Lee Isbell Jr., Michael Mateas:
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming. 318-323 - Yaxin Bi, Sally I. McClean, Terry J. Anderson:
On Combining Multiple Classifiers Using an Evidential Approach. 324-329 - Guang Dai, Dit-Yan Yeung:
Tensor Embedding Methods. 330-335 - Ian Davidson, S. S. Ravi:
Identifying and Generating Easy Sets of Constraints for Clustering. 336-341 - Chris H. Q. Ding, Tao Li, Wei Peng:
Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method. 342-347 - Saher Esmeir, Shaul Markovitch:
Anytime Induction of Decision Trees: An Iterative Improvement Approach. 348-355 - Alborz Geramifard, Michael H. Bowling, Richard S. Sutton:
Incremental Least-Squares Temporal Difference Learning. 356-361 - Nela Gurevich, Shaul Markovitch, Ehud Rivlin:
Active Learning with Near Misses. 362-367 - Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup:
Representing Systems with Hidden State. 368-374 - Michael R. James, Ton Wessling, Nikos Vlassis:
Improving Approximate Value Iteration Using Memories and Predictive State Representations. 375-380 - Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda:
Learning Systems of Concepts with an Infinite Relational Model. 381-388 - Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi:
kFOIL: Learning Simple Relational Kernels. 389-394 - Niklas Lavesson, Paul Davidsson:
Quantifying the Impact of Learning Algorithm Parameter Tuning. 395-400 - Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng:
Efficient L1 Regularized Logistic Regression. 401-408 - Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guozhu Dong:
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns. 409-414 - Yaxin Liu, Peter Stone:
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping. 415-420 - Yi Liu, Rong Jin, Liu Yang:
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization. 421-426 - Richard Maclin, Jude W. Shavlik, Trevor Walker, Lisa Torrey:
A Simple and Effective Method for Incorporating Advice into Kernel Methods. 427-432 - Andrew McCallum, Chris Pal, Gregory Druck, Xuerui Wang:
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification. 433-439 - Matthew Michelson, Craig A. Knoblock:
Learning Blocking Schemes for Record Linkage. 440-445 - Tom Y. Ouyang, Kenneth D. Forbus:
Strategy Variations in Analogical Problem Solving. 446-451 - Charles Parker, Alan Fern, Prasad Tadepalli:
Gradient Boosting for Sequence Alignment. 452-457 - Hoifung Poon, Pedro M. Domingos:
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies. 458-463 - Achim Rettinger, Martin Zinkevich, Michael H. Bowling:
Boosting Expert Ensembles for Rapid Concept Recall. 464-469 - Jianhua Ruan, Weixiong Zhang:
Identification and Evaluation of Weak Community Structures in Networks. 470-475 - Victor S. Sheng, Charles X. Ling:
Thresholding for Making Classifiers Cost-sensitive. 476-481 - Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang:
Cost-Sensitive Test Strategies. 482-487 - Parag Singla, Pedro M. Domingos:
Memory-Efficient Inference in Relational Domains. 488-493 - Vishal Soni, Satinder Singh:
Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains. 494-499 - Jiang Su, Harry Zhang:
A Fast Decision Tree Learning Algorithm. 500-505 - Samarth Swarup, Sylvian R. Ray:
Cross-Domain Knowledge Transfer Using Structured Representations. 506-511 - Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes:
Conflict Resolution and a Framework for Collaborative Interactive Evolution. 512-517 - Shimon Whiteson, Peter Stone:
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. 518-523 - David Wingate, Satinder Singh:
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems. 524-529 - Alicia P. Wolfe, Andrew G. Barto:
Decision Tree Methods for Finding Reusable MDP Homomorphisms. 530-535 - Linli Xu, Koby Crammer, Dale Schuurmans:
Robust Support Vector Machine Training via Convex Outlier Ablation. 536-542 - Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu:
An Efficient Algorithm for Local Distance Metric Learning. 543-548 - Wai-Leong Yeow, Chen-Khong Tham, Wai-Choong Wong:
Hard Constrained Semi-Markov Decision Processes. 549-554 - Yang Yu, Zhi-Hua Zhou:
A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms. 555-560 - Qijun Zhao, David Zhang, Hongtao Lu:
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data. 561-566 - Zhi-Hua Zhou, Xu-Ying Liu:
On Multi-Class Cost-Sensitive Learning. 567-572 - Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings:
Optimal Unbiased Estimators for Evaluating Agent Performance. 573-579
Multiagent Systems
- Mazda Ahmadi, Peter Stone:
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots. 580-585 - Alon Altman, Moshe Tennenholtz:
Quantifying Incentive Compatibility of Ranking Systems. 586-591 - Moshe Babaioff, Ron Lavi, Elan Pavlov:
Impersonation-Based Mechanisms. 592-597 - Michael Benisch, George B. Davis, Tuomas Sandholm:
Algorithms for Rationalizability and CURB Sets. 598-604 - Felix Brandt, Felix A. Fischer, Yoav Shoham:
On Strictly Competitive Multi-Player Games. 605-612 - Vincent Conitzer:
Computing Slater Rankings Using Similarities among Candidates. 613-619 - Vincent Conitzer, Andrew J. Davenport, Jayant Kalagnanam:
Improved Bounds for Computing Kemeny Rankings. 620-626 - Vincent Conitzer, Tuomas Sandholm:
Nonexistence of Voting Rules That Are Usually Hard to Manipulate. 627-634 - Viet Dung Dang, Rajdeep K. Dash, Alex Rogers, Nicholas R. Jennings:
Overlapping Coalition Formation for Efficient Data Fusion in Multi-Sensor Networks. 635-640 - Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hemaspaandra:
The Complexity of Bribery in Elections. 641-646 - Rachel Greenstadt, Jonathan P. Pearce, Milind Tambe:
Analysis of Privacy Loss in Distributed Constraint Optimization. 647-653 - Gery Gutnik, Gal A. Kaminka:
From Centralized to Distributed Selective Overhearing. 654-659 - Katsutoshi Hirayama:
A New Approach to Distributed Task Assignment using Lagrangian Decomposition and Distributed Constraint Satisfaction. 660-665 - Jian Huang, Adrian R. Pearce:
Distributed Interactive Learning in Multi-Agent Systems. 666-671 - Nathanael Hyafil, Craig Boutilier:
Regret-based Incremental Partial Revelation Mechanisms. 672-678 - Albert Xin Jiang, Kevin Leyton-Brown:
A Polynomial-Time Algorithm for Action Graph Games. 679-684 - Kaivan Kamali, Xiaocong Fan, John Yen:
Multiparty Proactive Communication: A Perspective for Evolving Shared Mental Models. 685-690 - Dov Monderer, Moshe Tennenholtz:
Strong Mediated Equilibrium. 691-696 - Naoki Ohta, Atsushi Iwasaki, Makoto Yokoo, Kohki Maruono, Vincent Conitzer, Tuomas Sandholm:
A Compact Representation Scheme for Coalitional Games in Open Anonymous Environments. 697-702 - Adrian Petcu, Boi Faltings:
ODPOP: An Algorithm for Open/Distributed Constraint Optimization. 703-708 - Amit Shabtay, Zinovi Rabinovich, Jeffrey S. Rosenschein:
Behaviosites: Manipulation of Multiagent System Behavior through Parasitic Infection. 709-715 - Gita Sukthankar, Katia P. Sycara:
Simultaneous Team Assignment and Behavior Recognition from Spatio-Temporal Agent Traces. 716-721 - Yathiraj B. Udupi, Munindar P. Singh:
Contract Enactment in Virtual Organizations: A Commitment-Based Approach. 722-727 - Dongmo Zhang, Yan Zhang:
A Computational Model of Logic-Based Negotiation. 728-733 - Aviv Zohar, Jeffrey S. Rosenschein:
Mechanisms for Partial Information Elicitation: The Truth, but Not the Whole Truth. 734-739 - Aviv Zohar, Jeffrey S. Rosenschein:
Robust Mechanisms for Information Elicitation. 740-746
Natural Language Processing
- David DeVault, Iris Oved, Matthew Stone:
Societal Grounding Is Essential to Meaningful Language Use. 747-754 - Sanda M. Harabagiu, Andrew Hickl, V. Finley Lacatusu:
Negation, Contrast and Contradiction in Text Processing. 755-762 - Man Lan, Chew Lim Tan, Hwee-Boon Low:
Proposing a New Term Weighting Scheme for Text Categorization. 763-768 - Shijian Lu, Chew Lim Tan:
Script and Language Identification in Degraded and Distorted Document Images. 769-774 - Rada Mihalcea, Courtney D. Corley, Carlo Strapparava:
Corpus-based and Knowledge-based Measures of Text Semantic Similarity. 775-780 - Vivi Nastase, Jelber Sayyad-Shirabad, Marina Sokolova, Stan Szpakowicz:
Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features. 781-787
Reasoning about Plans and Actions
- Jorge A. Baier, Sheila A. McIlraith:
Planning with First-Order Temporally Extended Goals using Heuristic Search. 788-795 - Nate Blaylock, James F. Allen:
Fast Hierarchical Goal Schema Recognition. 796-801 - Stephen A. Block, Andreas F. Wehowsky, Brian C. Williams:
Robust Execution on Contingent, Temporally Flexible Plans. 802-808 - Ronen I. Brafman, Carmel Domshlak:
Factored Planning: How, When, and When Not. 809-814 - Balázs Csanád Csáji, László Monostori:
Adaptive Sampling Based Large-Scale Stochastic Resource Control. 815-820 - Stefan Edelkamp, Shahid Jabbar:
Cost-Optimal External Planning. 821-826 - Alexander Feldman, Arjan J. C. van Gemund:
A Two-Step Hierarchical Algorithm for Model-Based Diagnosis. 827-833 - Maria Fox, Richard Howey, Derek Long:
Exploration of the Robustness of Plans. 834-839 - Michael W. Hofbaur, Franz Wotawa:
A Causal Analysis Method for Concurrent Hybrid Automata. 840-846 - T. K. Satish Kumar:
Tractable Classes of Metric Temporal Problems with Domain Rules. 847-852 - Vladimir Lifschitz, Wanwan Ren:
A Modular Action Description Language. 853-859 - Maxim Likhachev, Anthony Stentz:
PPCP: Efficient Probabilistic Planning with Clear Preferences in Partially-Known Environments. 860-867 - Shieu-Hong Lin:
Reasoning about Discrete Event Sources. 868-873 - Alejandro López-Ortiz, Spyros Angelopoulos, Angèle M. Hamel:
Optimal Scheduling of Contract Algorithms for Anytime Problems. 874-879 - Mausam, Daniel S. Weld:
Probabilistic Temporal Planning with Uncertain Durations. 880-887 - Megan Nance, Adam Vogel, Eyal Amir:
Reasoning about Partially Observed Actions. 888-893 - Barry O'Sullivan, Gregory M. Provan:
Approximate Compilation for Embedded Model-based Reasoning. 894-899 - Héctor Palacios, Hector Geffner:
Compiling Uncertainty Away: Solving Conformant Planning Problems using a Classical Planner (Sometimes). 900-905 - William Pentney, Ana-Maria Popescu, Shiaokai Wang, Henry A. Kautz, Matthai Philipose:
Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense. 906-912 - Dafna Shahaf, Eyal Amir:
Learning Partially Observable Action Schemas. 913-919 - Dafna Shahaf, Allen Chang, Eyal Amir:
Learning Partially Observable Action Models: Efficient Algorithms. 920-926 - Dmitry Shaparau, Marco Pistore, Paolo Traverso:
Contingent Planning with Goal Preferences. 927-935
Robotics and Computer Vision
- Yoonsuck Choe, Noah H. Smith:
Motion-Based Autonomous Grounding: Inferring External World Properties from Encoded Internal Sensory States Alone. 936-941 - Douglas Demyen, Michael Buro:
Efficient Triangulation-Based Pathfinding. 942-947 - Andreas G. Hofmann, Brian Charles Williams:
Exploiting Spatial and Temporal Flexibility for Plan Execution for Hybrid, Under-actuated Robots. 948-955 - Anthony Hoogs, Roderic Collins:
Object Boundary Detection in Images using a Semantic Ontology. 956-963 - Armita Kaboli, Michael H. Bowling, Petr Musílek:
Bayesian Calibration for Monte Carlo Localization. 964-969 - Meir Kalech, Gal A. Kaminka, Amnon Meisels, Yehuda Elmaliach:
Diagnosis of Multi-Robot Coordination Failures Using Distributed CSP Algorithms. 970-975 - Dimitri Marinakis, Gregory Dudek:
Probabilistic Self-Localization for Sensor Networks. 976-981 - Michael Montemerlo, Sebastian Thrun, Hendrik Dahlkamp, David Stavens, Sven Strohband:
Winning the DARPA Grand Challenge with an AI Robot. 982-987 - Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung:
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. 988-993 - Michael Smith:
Running the Table: An AI for Computer Billiards. 994-999 - Andrea Lockerd Thomaz, Cynthia Breazeal:
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance. 1000-1006
Search and Game Playing
- Andrew Gilpin, Tuomas Sandholm:
A Competitive Texas Hold'em Poker Player via Automated Abstraction and Real-Time Equilibrium Computation. 1007-1013 - Philip Kilby, John K. Slaney, Sylvie Thiébaux, Toby Walsh:
Estimating Search Tree Size. 1014-1019 - Yew Jin Lim, Wee Sun Lee:
Properties of Forward Pruning in Game-Tree Search. 1020-1025 - Yew Jin Lim, Wee Sun Lee:
RankCut - A Domain Independent Forward Pruning Method for Games. 1026-1031 - G. Ayorkor Mills-Tettey, Anthony Stentz, M. Bernardine Dias:
DD* Lite: Efficient Incremental Search with State Dominance. 1032-1038 - Robert Niewiadomski, José Nelson Amaral, Robert C. Holte:
Sequential and Parallel Algorithms for Frontier A* with Delayed Duplicate Detection. 1039-1044 - Austin Parker, Dana S. Nau, V. S. Subrahmanian:
Overconfidence or Paranoia? Search in Imperfect-Information Games. 1045-1050 - Meinolf Sellmann, Carlos Ansótegui:
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts. 1051-1056 - Nathan R. Sturtevant, Martin Zinkevich, Michael H. Bowling:
Prob-Maxn: Playing N-Player Games with Opponent Models. 1057-1063 - Sebastian Theophil, Arno Schödl:
An Efficient Algorithm for Scatter Chart Labeling. 1064-1069 - Haruhiro Yoshimoto, Kazuki Yoshizoe, Tomoyuki Kaneko, Akihiro Kishimoto, Kenjiro Taura:
Monte Carlo Go Has a Way to Go. 1070-1075 - Uzi Zahavi, Ariel Felner, Robert Holte, Jonathan Schaeffer:
Dual Search in Permutation State Spaces. 1076-1081 - Rong Zhou, Eric A. Hansen:
Domain-Independent Structured Duplicate Detection. 1082-1088
Uncertainty in AI
- Aurélie Beynier, Abdel-Illah Mouaddib:
An Iterative Algorithm for Solving Constrained Decentralized Markov Decision Processes. 1089-1094 - Bozhena Bidyuk, Rina Dechter:
An Anytime Scheme for Bounding Posterior Beliefs. 1095-1100 - Ronen I. Brafman, Carmel Domshlak, Solomon Eyal Shimony, Y. Silver:
Preferences over Sets. 1101-1106 - Arthur Choi, Adnan Darwiche:
An Edge Deletion Semantics for Belief Propagation and its Practical Impact on Approximation Quality. 1107-1114 - Denver Dash, Branislav Kveton, John Mark Agosta, Eve M. Schooler, Jaideep Chandrashekar, Abraham Bachrach, Alex Newman:
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions. 1115-1122 - Rodrigo de Salvo Braz, Eyal Amir, Dan Roth:
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. 1123-1130 - Prashant Doshi, Piotr J. Gmytrasiewicz:
On the Difficulty of Achieving Equilibrium in Interactive POMDPs. 1131-1136 - Yagil Engel, Michael P. Wellman:
CUI Networks: A Graphical Representation for Conditional Utility Independence. 1137-1142 - Jinbo Huang, Mark Chavira, Adnan Darwiche:
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits. 1143-1148 - Yimin Huang, Marco Valtorta:
Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm. 1149-1154 - Xia Jiang, Garrick L. Wallstrom:
A Bayesian Network for Outbreak Detection and Prediction. 1155-1160 - Branislav Kveton, Milos Hauskrecht:
Learning Basis Functions in Hybrid Domains. 1161-1166 - Hui Li, Xuejun Liao, Lawrence Carin:
Incremental Least Squares Policy Iteration for POMDPs. 1167-1172 - Wei Li, Peter van Beek, Pascal Poupart:
Performing Incremental Bayesian Inference by Dynamic Model Counting. 1173-1179 - Wenhui Liao, Qiang Ji:
Efficient Active Fusion for Decision-Making via VOI Approximation. 1180-1185 - Yaxin Liu, Sven Koenig:
Functional Value Iteration for Decision-Theoretic Planning with General Utility Functions. 1186-1193 - Sridhar Mahadevan, Mauro Maggioni, Kimberly Ferguson, Sarah Osentoski:
Learning Representation and Control in Continuous Markov Decision Processes. 1194-1199 - Radu Marinescu, Rina Dechter:
Memory Intensive Branch-and-Bound Search for Graphical Models. 1200-1205 - Kevin Regan, Pascal Poupart, Robin Cohen:
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change. 1206-1212 - David L. Roberts, Mark J. Nelson, Charles Lee Isbell Jr., Michael Mateas, Michael L. Littman:
Targeting Specific Distributions of Trajectories in MDPs. 1213-1218 - Ilya Shpitser, Judea Pearl:
Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models. 1219-1226 - Trey Smith, Reid G. Simmons:
Focused Real-Time Dynamic Programming for MDPs: Squeezing More Out of a Heuristic. 1227-1232 - Daniel Szer, François Charpillet:
Point-based Dynamic Programming for DEC-POMDPs. 1233-1238 - Jin Tian, Changsung Kang, Judea Pearl:
A Characterization of Interventional Distributions in Semi-Markovian Causal Models. 1239-1244 - Tao Wang, Pascal Poupart, Michael H. Bowling, Dale Schuurmans:
Compact, Convex Upper Bound Iteration for Approximate POMDP Planning. 1245-1252
Special Track on Artificial Intelligence and the Web
- Cécile Aberg, Johan Aberg, Patrick Lambrix, Nahid Shahmehri:
A Platform to Evaluate the Technology for Service Discovery in the Semantic Web. 1253-1258 - Nathanael Chambers, James F. Allen, Lucian Galescu, Hyuckchul Jung, William Taysom:
Using Semantics to Identify Web Objects. 1259-1264 - Hang Cui, Vibhu O. Mittal, Mayur Datar:
Comparative Experiments on Sentiment Classification for Online Product Reviews. 1265-1270 - Giuseppe De Giacomo, Maurizio Lenzerini, Antonella Poggi, Riccardo Rosati:
On the Update of Description Logic Ontologies at the Instance Level. 1271-1276 - Prashant Doshi, Christopher Thomas:
Inexact Matching of Ontology Graphs Using Expectation-Maximization. 1277-1282 - Donghui Feng, Deepak Ravichandran, Eduard H. Hovy:
Mining and Re-ranking for Answering Biographical Queries on the Web. 1283-1288 - Donghui Feng, Jihie Kim, Erin Shaw, Eduard H. Hovy:
Towards Modeling Threaded Discussions using Induced Ontology Knowledge. 1289-1294 - Giorgos Flouris, Zhisheng Huang, Jeff Z. Pan, Dimitris Plexousakis, Holger Wache:
Inconsistencies, Negations and Changes in Ontologies. 1295-1300 - Evgeniy Gabrilovich, Shaul Markovitch:
Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge. 1301-1306 - Matthew Garden, Gregory Dudek:
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features. 1307-1312 - Wolfgang Gatterbauer, Paul Bohunsky:
Table Extraction Using Spatial Reasoning on the CSS2 Visual Box Model. 1313-1318 - Duncan Hull, Evgeny Zolin, Andrey Bovykin, Ian Horrocks, Ulrike Sattler, Robert Stevens:
Deciding Semantic Matching of Stateless Services. 1319-1324 - Xing Jiang, Ah-Hwee Tan:
OntoSearch: A Full-Text Search Engine for the Semantic Web. 1325-1330 - Nitin Jindal, Bing Liu:
Mining Comparative Sentences and Relations. 1331-1336 - Lalana Kagal, Tim Berners-Lee, Dan Connolly, Daniel J. Weitzner:
Using Semantic Web Technologies for Policy Management on the Web. 1337-1344 - Yarden Katz, Jennifer Golbeck:
Social Network-based Trust in Prioritized Default Logic. 1345-1350 - Pranam Kolari, Akshay Java, Tim Finin, Tim Oates, Anupam Joshi:
Detecting Spam Blogs: A Machine Learning Approach. 1351-1356 - Lun-Wei Ku, Hsiu-Wei Ho, Hsin-Hsi Chen:
Novel Relationship Discovery Using Opinions Mined from the Web. 1357-1362 - Kristina Lerman, Anon Plangprasopchok, Craig A. Knoblock:
Automatically Labeling the Inputs and Outputs of Web Services. 1363-1368 - Arwen Twinkle Lettkeman, Simone Stumpf, Jed Irvine, Jonathan L. Herlocker:
Predicting Task-Specific Webpages for Revisiting. 1369-1374 - Benjamin Markines, Lubomira Stoilova, Filippo Menczer:
Bookmark Hierarchies and Collaborative Recommendation. 1375-1380 - Yutaka Matsuo, Masahiro Hamasaki, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideaki Takeda, Junichiro Mori, Danushka Bollegala, Mitsuru Ishizuka:
Spinning Multiple Social Networks for Semantic Web. 1381-1387 - Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig:
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks. 1388-1393 - Zhengxiang Pan, Abir Qasem, Jeff Heflin:
An Investigation into the Feasibility of the Semantic Web. 1394-1399 - Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, Alpa Jain:
Organizing and Searching the World Wide Web of Facts - Step One: The One-Million Fact Extraction Challenge. 1400-1405 - Filip Radlinski, Thorsten Joachims:
Minimally Invasive Randomization fro Collecting Unbiased Preferences from Clickthrough Logs. 1406-1412 - Vincent Schickel-Zuber, Boi Faltings:
Inferring User's Preferences using Ontologies. 1413-1418 - Michael Strube, Simone Paolo Ponzetto:
WikiRelate! Computing Semantic Relatedness Using Wikipedia. 1419-1424 - Yonghong Wang, Munindar P. Singh:
Trust Representation and Aggregation in a Distributed Agent System. 1425-1430 - Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang:
Improve Web Search Using Image Snippets. 1431-1437
Special Track on Integrated Intelligent Capabilities
- Adrian K. Agogino, Kagan Tumer:
QUICR-Learning for Multi-Agent Coordination. 1438-1443 - Matt Berlin, Jesse Gray, Andrea Lockerd Thomaz, Cynthia Breazeal:
Perspective Taking: An Organizing Principle for Learning in Human-Robot Interaction. 1444-1450 - Michael H. Coen:
Self-Supervised Acquisition of Vowels in American English. 1451-1456 - Gregory Kuhlmann, Peter Stone:
Automatic Heuristic Construction in a Complete General Game Player. 1457-1462 - Gregory Kuhlmann, William B. Knox, Peter Stone:
Know Thine Enemy: A Champion RoboCup Coach Agent. 1463-1468 - Pat Langley, Dongkyu Choi:
A Unified Cognitive Architecture for Physical Agents. 1469-1474 - Matt MacMahon, Brian Stankiewicz, Benjamin Kuipers:
Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions. 1475-1482 - Reinhard Moratz:
Intuitive linguistic Joint Object Reference in Human-Robot Interaction: Human Spatial Reference Systems and Function-Based Categorization for Symbol Grounding. 1483-1488 - David Pardoe, Peter Stone:
TacTex-05: A Champion Supply Chain Management Agent. 1489-1494 - Vasile Rus, Arthur C. Graesser:
Deeper Natural Language Processing for Evaluating Student Answers in Intelligent Tutoring Systems. 1495-1500 - Rajah Annamalai Subramanian, Sanjeev Kumar, Philip R. Cohen:
Integrating Joint Intention Theory, Belief Reasoning, and Communicative Action for Generating Team-Oriented Dialogue. 1501-1507
Senior Member Papers
- B. Chandrasekaran:
Multimodal Cognitive Architecture: Making Perception More Central to Intelligent Behavior. 1508-1512 - Steve A. Chien:
Integrated AI in Space: The Autonomous Sciencecraft on Earth Observing One. 1513-1516 - Oren Etzioni, Michele Banko, Michael J. Cafarella:
Machine Reading. 1517-1519 - Eugene C. Freuder:
Constraints: The Ties that Bind. 1520-1523 - Henry A. Kautz:
Deconstructing Planning as Satisfiability. 1524-1526 - Stephen H. Muggleton:
Towards Chemical Universal Turing Machines. 1527-1529 - Charles Rich, Candace L. Sidner:
From the Programmer's Apprentice to Human-Robot Interaction: Thirty Years of Research on Human-Computer Collaboration. 1530-1533 - Lenhart K. Schubert:
Turing's Dream and the Knowledge Challenge. 1534-1538 - Stuart M. Shieber:
Does the Turing Test Demonstrate Intelligence or Not?. 1539-1542 - William R. Swartout:
Virtual Humans. 1543-1545 - Leslie G. Valiant:
Knowledge Infusion. 1546-1551 - Michael P. Wellman:
Methods for Empirical Game-Theoretic Analysis. 1552-1556
New Scientific and Technical Advances in Research (Nectar) Papers
- Yuan An, John Mylopoulos, Alexander Borgida:
Building Semantic Mappings from Databases to Ontologies. 1557-1566 - Tsz-Chiu Au, Dana S. Nau:
Maintaining Cooperation in Noisy Environments. 1567- - Christian Bessiere, Remi Coletta, Frédéric Koriche, Barry O'Sullivan:
Acquiring Constraint Networks Using a SAT-based Version Space Algorithm. 1565-1568 - Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi:
Subjective Mapping. 1569-1572 - Darius Braziunas, Craig Boutilier:
Preference Elicitation and Generalized Additive Utility. 1573-1576 - Stefanie Brüninghaus, Kevin D. Ashley:
Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text. 1577-1580 - Alvaro A. Cárdenas, John S. Baras:
B-ROC Curves for the Assessment of Classifiers over Imbalanced Data Sets. 1581-1584 - Ruggiero Cavallo:
Handling Self-Interest in Groups, with Minimal Cost. 1585-1588 - David A. Cohen, Peter Jeavons, Christopher Jefferson, Karen E. Petrie, Barbara M. Smith:
Constraint Symmetry and Solution Symmetry. 1589-1592 - Kurt M. Dresner, Peter Stone:
Traffic Intersections of the Future. 1593-1596 - Saher Esmeir, Shaul Markovitch:
When a Decision Tree Learner Has Plenty of Time. 1597-1600 - Bora Gazen, Steven Minton:
Overview of AutoFeed: An Unsupervised Learning System for Generating Webfeeds. 1601-1604 - Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby:
Embedding Heterogeneous Data Using Statistical Models. 1605-1608 - Maarten Grachten, Josep Lluís Arcos, Ramón López de Mántaras:
TempoExpress: An Expressivity-Preserving Musical Tempo Transformation System. 1609-1612 - Jonathan Gratch, Stacy Marsella, Wenji Mao:
Towards a Validated Model of "Emotional Intelligence". 1613-1616 - Yuanbo Guo, Abir Qasem, Jeff Heflin:
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective. 1617-1620 - Minqing Hu, Bing Liu:
Opinion Extraction and Summarization on the Web. 1621-1624 - Sven Koenig, Craig A. Tovey, Michail G. Lagoudakis, Evangelos Markakis, David Kempe, Pinar Keskinocak, Anton J. Kleywegt, Adam Meyerson, Sonal Jain:
The Power of Sequential Single-Item Auctions for Agent Coordination. 1625-1629 - Joseph A. Konstan, Sean M. McNee, Cai-Nicolas Ziegler, Roberto Torres, Nishikant Kapoor, John Riedl:
Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. 1630-1633 - Nicholas Kushmerick, Tessa A. Lau, Mark Dredze, Rinat Khoussainov:
Activity-Centric Email: A Machine Learning Approach. 1634-1637 - Ugur Kuter, Dana S. Nau:
Controlled Search over Compact State Representations, in Nondeterministic Planning Domains and Beyond. 1638-1641 - Matthew Lease, Eugene Charniak, Mark Johnson, David McClosky:
A Look at Parsing and Its Applications. 1642-1645 - Donald Metzler, W. Bruce Croft:
Beyond Bags of Words: Modeling Implicit User Preferences in Information Retrieval. 1646-1649 - Louis-Philippe Morency, Candace L. Sidner, Christopher Lee, Trevor Darrell:
The Role of Context in Head Gesture Recognition. 1650-1653 - Ullas Nambiar, Subbarao Kambhampati:
Supporting Queries with Imprecise Constraints. 1654-1657 - Biplav Srivastava:
The Synthy Approach for End to End Web Services Composition: Planning with Decoupled Causal and Resource Reasoning. 1658-1662 - Robert St. Amant, Sean P. McBride, Frank E. Ritter:
AI Support for Building Cognitive Models. 1663-1666 - Armin Stahl, Thomas Gabel:
Optimizing Similarity Assessment in Case-Based Reasoning. 1667-1670 - Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen:
Real-Time Evolution of Neural Networks in the NERO Video Game. 1671-1674 - Oliviero Stock, Carlo Strapparava:
Laughing with HAHAcronym, a Computational Humor System. 1675-1678 - Qiang Sun, Li-Lun Wang, Gerald DeJong:
Explanation-Based Learning for Image Understanding. 1679-1682 - Kilian Q. Weinberger, Lawrence K. Saul:
An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. 1683-1686 - Yanhong Zhai, Bing Liu:
Automatic Wrapper Generation Using Tree Matching and Partial Tree Alignment. 1687-1690 - Michelle X. Zhou, Keith Houck, Shimei Pan, James Shaw, Vikram Aggarwal, Zhen Wen:
Responsive Information Architect: Enabling Context-Sensitive Information Seeking. 1691-1694 - Rong Zhou, Eric A. Hansen:
A Breadth-First Approach to Memory-Efficient Graph Search. 1695-1699
IAAI-06 Deployed Application Papers
- William Cheetham:
Case-Based Reasoning for General Electric Appliance Customer Support. 1700-1704 - Philip Gross, Albert Boulanger, Marta Arias, David L. Waltz, Philip M. Long, Charles Lawson, Roger Anderson, Matthew Koenig, Mark Mastrocinque, William Fairechio, John A. Johnson, Serena Lee, Frank Doherty, Arthur Kressner:
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis. 1705-1711 - Andrew Lim, Zhou Xu, Brenda Cheang, Wee-Kit Ho, Steve Au-yeung:
TPBOSCourier: A Transportation Procurement System (for the Procurement of Courier Services). 1712-1719 - Yehuda Naveh, Michal Rimon, Itai Jaeger, Yoav Katz, Michael Vinov, Eitan Marcus, Gil Shurek:
Constraint-Based Random Stimuli Generation for Hardware Verification. 1720-1727 - Nestor Rychtyckyj:
Machine Translation for Manufacturing: A Case Study at Ford Motor Company. 1728-1735 - Tuomas Sandholm:
Expressive Commerce and Its Application to Sourcing. 1736-1744
IAAI-06 Emerging Application Papers
- Fahd Albinali, Chris Gniady:
CPM: Context-Aware Power Management in WLANs. 1745-1750 - José Luis Ambite, Vinay K. Chaudhri, Richard Fikes, Jessica Jenkins, Sunil Mishra, Maria Muslea, Tomás E. Uribe, Guizhen Yang:
Design and Implementation of the CALO Query Manager. 1751-1758 - Michael Anderson, Susan Leigh Anderson, Chris Armen:
MedEthEx: A Prototype Medical Ethics Advisor. 1759-1765 - Mark G. Core, H. Chad Lane, Michael van Lent, Dave Gomboc, Steve Solomon, Milton Rosenberg:
Building Explainable Artificial Intelligence Systems. 1766-1773 - Marie desJardins, Blazej Bulka, Ryan Carr, Andrew Hunt, Priyang Rathod, Penny Rheingans:
Heuristic Search and Information Visualization Methods for School Redistricting. 1774-1781 - Artur Dubrawski, Kimberly Elenberg, Andrew W. Moore, Maheshkumar Sabhnani:
Monitoring Food Safety by Detecting Patterns in Consumer Complaints. 1782-1788 - Kee-Eung Kim, Wook Chang, Sung-Jung Cho, Junghyun Shim, Hyunjeong Lee, Joonah Park, Youngbeom Lee, Sangryoung Kim:
Hand Grip Pattern Recognition for Mobile User Interfaces. 1789-1794 - Julia Letchner, John Krumm, Eric Horvitz:
Trip Router with Individualized Preferences (TRIP): Incorporating Personalization into Route Planning. 1795-1800 - Raz Lin, Daphna Dor-Shifer, Sarit Kraus, David Sarne:
Local Negotiation in Cellular Networks: From Theory to Practice. 1801-1807 - Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan:
Ontology Based Semantic Modeling for Chinese Ancient Architectures. 1808-1813 - Mark L. Morsch, Joel L. Vengco, Ronald E. Sheffer Jr., Daniel T. Heinze:
CM-Extractor: An Application for Automating Medical Quality Measures Abstraction in a Hospital Setting. 1814-1821 - Brett Poulin, Roman Eisner, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Cam Macdonell, John Anvik:
Visual Explanation of Evidence with Additive Classifiers. 1822-1829 - Rafael Ramírez, Amaury Hazan, Jordi Marine, Esteban Maestre:
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance. 1830-1835 - Howard E. Shrobe, Robert Laddaga, Robert Balzer, Neil M. Goldman, David S. Wile, Marcelo Tallis, Tim Hollebeek, Alexander Egyed:
AWDRAT: A Cognitive Middleware System for Information Survivability. 1836-1843 - Leen-Kiat Soh, Nobel Khandaker, Hong Jiang:
Multiagent Coalition Formation for Computer-Supported Cooperative Learning. 1844-1852
Student Abstracts
- Mazda Ahmadi, Peter Stone:
Biconnected Structure for Multi-Robot Systems. 1853- - Jason M. Black, Dean F. Hougen:
A Benchmark for Cooperative Learning Agents. 855-1856 - Brett J. Borghetti, Eric Sodomka:
Performance Evaluation Methods for the Trading Agent Competition. 1857-1858 - Sandeep Chandana, René V. Mayorga:
Can We Work around Numerical Methods? An Insight. 1859-1860 - Le Chang, Alan K. Mackworth:
Local Consistency in Junction Graphs for Constraint-Based Inference. 1861-1862 - Bruno Castro da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel:
RL-CD: Dealing with Non-Stationarity in Reinforcement Learning. 1863-1864 - Kurt M. Dresner, Peter Stone:
Making Autonomous Intersection Management Backwards-Compatible. 1865-1866 - Christopher Fellows, Yuri Malitsky, Gregory Wojtaszczyk:
Exploring GnuGo's Evaluation Function with a SVM. 1867-1868 - Kevin M. Godby, Jesse A. Lane:
Robot Self-Recognition Using Conditional Probability-Based Contingency. 1869-1870 - Brian Hutchinson, Jianna Zhang:
Multiclass Support Vector Machines for Articulatory Feature Classification. 1871-1872 - Matti Järvisalo:
Further Investigations into Regular XORSAT. 1873-1874 - Akshay Java, Tim Finin, Sergei Nirenburg:
SemNews: A Semantic News Framework. 1875-1876 - Li Jin, Keith Decker:
KDMAS: A Multi-Agent System for Knowledge Discovery via Planning. 1877-1878 - Mahesh Joshi, Ted Pedersen, Richard Maclin, Serguei V. S. Pakhomov:
Kernel Methods for Word Sense Disambiguation and Acronym Expansion. 1879-1880 - Pranam Kolari, Tim Finin:
Memeta: A Framework for Multi-Relational Analytics on the Blogosphere. 1881-1882 - Gregory Kuhlmann, Peter Stone:
Automatic Heuristic Construction for General Game Playing. 1883-1884 - Anagha Kulkarni, Ted Pedersen:
How Many Different "John Smiths", and Who Are They? 1885-1886 - Kiran Lakkaraju, Les Gasser:
Population and Agent Based Models for Language Convergence. 1887-1888 - Douglas S. Lange:
Boot Camp for Cognitive Systems. 1889-1890 - Ross Mead, Jerry B. Weinberg:
Algorithms for Control and Interaction of Large Formations of Robots. 1891-1892 - Slawomir Nowaczyk:
Learning of Agents with Limited Resources. 1893-1894 - Young-In Shin:
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis. 1895-1896 - Tyler Streeter:
Curiosity-Driven Exploration with Planning Trajectories. 1897-1898 - Daniel Stronger, Peter Stone:
Expectation-Based Vision for Self-Localization on a Legged Robot. 1899-1900 - Matthew E. Taylor, Peter Stone:
Inter-Task Action Correlation for Reinforcement Learning Tasks. 1901-1903
AAAI / SIGART Doctoral Consortium
- Abraham Bagherjeiran:
A Value Theory of Meta-Learning Algorithms. 1904-1905 - Yun-Gyung Cheong:
A Computational Model of Narrative Generation for Suspense. 1906-1907 - Eric Eaton:
Multi-Resolution Learning for Knowledge Transfer. 1908-1909 - Andrew S. Fast:
Learning Models of Macrobehavior in Complex Adaptive Systems. 1910-1911 - Janae N. Foss:
Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present. 1912-1913 - Michel Galley:
Automatic Summarization of Conversational Multi-Party Speech. 1914-1915 - Rachel Greenstadt:
Privatizing Constraint Optimization. 1916-1917 - Arnav Jhala:
Darshak - An Intelligent Cinematic Camera Planning System. 1918-1919 - Bhaskar Mehta:
Cross System Personalization by Learning Manifold Alignments. 1920-1921 - Martin Michalowski:
A Generalized Query Framework for Geospatial Reasoning. 1922-1923 - Mohan Sridharan:
Robust Autonomous Structure-based Color Learning on a Mobile Robot. 1924-1925 - Chaofan Sun:
Closest Pairs Data Selection for Support Vector Machines. 1926-1927 - Tao Wang:
Action Selection in Bayesian Reinforcement Learning. 1928-1930
Intelligent Systems Demonstrations
- Rama Akkiraju, Biplav Srivastava, Anca-Andreea Ivan, Richard Goodwin, Tanveer Fathima Syeda-Mahmood:
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition. 1931-1932 - Kenneth M. Bayer, Josh Snyder, Berthe Y. Choueiry:
An Interactive Constraint-Based Approach to Minesweeper. 1933-1934 - Maria Cutumisu, Duane Szafron, Jonathan Schaeffer, Kevin Waugh, Curtis Onuczko, Jeff Siegel, Allan Schumacher:
ScriptEase - Motivational Behaviors for Interactive Characters in Computer Role-Playing Games. 1935-1936 - Jack L. Edwards, Greg Scott:
LOCATE Intelligent Systems Demonstration: Adapting Help to the Cognitive Styles of Users. 1937-1938 - Akshay Java, Tim Finin, Sergei Nirenburg:
SemNews: A Semantic News Framework. 1939-1940 - Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen, Richard Maclin, Christopher G. Chute:
An End-to-End Supervised Target-Word Sense Disambiguation System. 1941-1942 - Wolfgang Ketter, Eric Sodomka, Amrudin Agovic, John Collins, Maria L. Gini:
Strategic Sales Management in an Autonomous Trading Agent for TAC SCM. 1943-1944 - Krol Kevin Mathias, Casey Lengacher, Derek Williams, Austin Cornett, Alex Dekhtyar, Judy Goldsmith:
Factored MDP Elicitation and Plan Display. 1945-1946 - Matthew Michelson, Craig A. Knoblock:
Phoebus: A System for Extracting and Integrating Data from Unstructured and Ungrammatical Sources. 1947-1948 - Cynthia Sims Parr, Andriy Parafiynyk, Joel Sachs, Rong Pan, Lushan Han, Li Ding, Tim Finin, David Wang:
Using the Semantic Web to Integrate Ecoinformatics Resources. 1949-1950 - Christopher Raphael:
Demonstration of Music Plus One - A Real-Time System for Automatic Orchestral Accompaniment. 1951-1952 - Kenneth O. Stanley, Igor Karpov, Risto Miikkulainen, Aliza Gold:
Real-Time Interactive Learning in the NERO Video Game. 1953-1954 - André Valente, W. Lewis Johnson, Hannes Högni Vilhjálmsson:
The Tactical Language and Culture Training System: A Demonstration. 1955-1957
Mobile Robot Competition and Exhibition Abstracts
- Jacky Baltes, John Anderson:
The Keystone Scavenger Team. 1958-1959 - David J. Bruemmer, Douglas A. Few, Miles C. Walton, Curtis W. Nielsen:
The Robot Intelligence Kernel. 1960-1961 - Debra T. Burhans, R. Mark Meyer, Patricia VanVerth, David C. Puehn, Victoria Steck, John Paul Wiejaczka:
Introductory Computer Science with Robots. 1962-1963 - Debra T. Burhans, Alistair E. R. Campbell:
Using snarpy to Connect a KR System to Pyro. 1964-1965 - Zachary Dodds, Ben Tribelhorn:
Erdos: Cost-Effective Peripheral Robotics for AI Education. 1966-1967 - Natasa Lazetic, Jianna Zhang:
Object-Sorting-by-Color in a Variety of Lighting Conditions Using Neural Networks and Lego Mindstorms Robot. 1968-1969 - François Michaud, Dominic Létourneau, Maxime Fréchette, Eric Beaudry, Carle Côté, Froduald Kabanza:
Towards a Higher Level of Human-Robot Interaction and Integration. 1970-1971 - Paul W. Schermerhorn, James F. Kramer, Christopher Middendorff, Matthias Scheutz:
DIARC: A Testbed for Natural Human-Robot Interaction. 1972-1973 - Brian Schlesinger, Michael Mensch, Christopher Rindosh, Joe Votta, Yunfeng Wang:
A Semi-Autonomous Interactive Robot. 1974-1975 - Crystal Schuil, Matthew Valente, Justin Werfel, Radhika Nagpal:
Collective Construction Using Lego Robots. 1976-1977 - Elizabeth Sklar, Simon Parsons, M. Q. Azhar, Valerie Andrewlevich:
Educational Robotics in Brooklyn. 1978-1979 - Kamil Wnuk, Brian Fulkerson, Jeremi Sudol:
A Multi Agent Approach to Vision Based Robot Scavenging. 1980-1981
AAAI Member Abstracts
- Alina Andreevskaia, Sabine Bergler:
Semantic Tagging at the Sense Level. - Christopher H. Brooks, Monica Agarwal, Jason Endo, Ryan King, Nancy Montanez, Rudd Stevens:
Slashpack: An Integrated Tool for Gathering and Managing Hypertext Data. - Vadim Bulitko, Mitja Lustrek:
Lookahead Pathology in Real-Time Path-Finding. - David Portabella Clotet, Martin Rajman:
Explicit Passive Analysis in Electronic Catalogs. - Takayuki Ito, Mark Klein, Hiromitsu Hattori:
A Negotiation Protocol for Agents with Nonlinear Utility Functions. - John S. Kinnebrew, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt:
A Decision-Theoretic Planner with Dynamic Compound Reconfiguration for Distributed Real-Time Applications. - Stacy Lovell, Webb Stacy:
Using an Ontology for Knowledge Acquisition. - Gayathri Namasivayam:
PB-smodels a Pseudo-Boolean Solver. - Hirotaka Niitsuma:
Bayesian Network Based Reparameterization of Haar-like Feature. - Jonathan P. Pearce:
Locally Optimal Algorithms and Solutions for Distributed Constraint Optimization. - Kevin Quennesson, Elias Ioup, Charles L. Isbell Jr.:
Wavelet Statistics for Human Motion Classification. - Mihaela Sabin, Esther M. Gelle:
Evaluation of Solving Models for Conditional Constraint Satisfaction Problems. - Daniel L. Silver, Ryan Poirier:
Machine Life-Long Learning with csMTL Networks. - Aaron Sloman:
How to Put the Pieces of AI Together Again. - Mikhail Soutchanski, Huy Pham, John Mylopoulos:
Decision Making in Uncertain Real-World Domains Using DT-Golog. - Aparna S. Varde, Elke A. Rundensteiner, Carolina Ruiz, David C. Brown, Mohammed Maniruzzaman, Richard D. Sisson Jr.:
Integrating Clustering and Classification for Estimating Process Variables in Materials Science. - Kiri Wagstaff, Sugato Basu, Ian Davidson:
When Is Constrained Clustering Beneficial, and Why?. - Patrick W. Yaner, Ashok K. Goel:
Interpretation of Design Drawings by Analogy.
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