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ORCIDTom M. Mitchell
Tom Michael Mitchell
Person information
- affiliation: Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
Other persons with a similar name
- Tom Mitchell — disambiguation page
- Tom H. Mitchell — Clemson University, Department of Mechanical Engineering, SC, USA
- Tom Mitchell 0001
![[0000-0003-0761-9503]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0761-9503")
(aka: Thomas Mitchell 0001, Thomas J. Mitchell) — University of the West of England, Bristol, Department of Computer Science and Creative Technologies, UK - Tom Mitchell 0002 — Intelligent Assessment Technologies Ltd., UK
- Tom Mitchell 0003 — IBM Electronic Design Automation, Burlington, VT, USA
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2020 – today
- 2024
[c157]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) 2024: 75-90- [c156]Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li:
SmartPlay : A Benchmark for LLMs as Intelligent Agents. ICLR 2024 - [c155]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S 2024: 122-133 - [c154]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S 2024: 547-549 - [i48]Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka:
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. CoRR abs/2402.01108 (2024) - [i47]Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell:
AgentKit: Flow Engineering with Graphs, not Coding. CoRR abs/2404.11483 (2024) - [i46]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR abs/2404.17460 (2024) - [i45]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR abs/2405.20526 (2024) - 2023
- [c153]Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell:
Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements. EC-TEL 2023: 383-398 - [c152]Amos Azaria, Tom M. Mitchell:
The Internal State of an LLM Knows When It's Lying. EMNLP (Findings) 2023: 967-976 - [c151]Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell:
Zero-shot Triplet Extraction by Template Infilling. IJCNLP (1) 2023: 272-284 - [c150]Daniel L. Silver, Tom M. Mitchell:
The Roles of Symbols in Neural-based AI: They are Not What You Think! NeSy 2023: 420-421 - [c149]Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell:
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. NeurIPS 2023 - [c148]Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: Studying Papers and Reasoning to play Games. NeurIPS 2023 - [p4]Daniel L. Silver, Tom M. Mitchell:
The Roles of Symbols in Neural-Based AI: They Are Not What You Think! Compendium of Neurosymbolic Artificial Intelligence 2023: 1-28 - [i44]Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell:
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. CoRR abs/2302.04449 (2023) - [i43]Daniel L. Silver, Tom M. Mitchell:
The Roles of Symbols in Neural-based AI: They are Not What You Think! CoRR abs/2304.13626 (2023) - [i42]Amos Azaria, Tom M. Mitchell:
The Internal State of an LLM Knows When its Lying. CoRR abs/2304.13734 (2023) - [i41]Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye:
Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. CoRR abs/2305.02412 (2023) - [i40]Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. CoRR abs/2305.15486 (2023) - [i39]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR abs/2310.01420 (2023) - [i38]Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li:
SmartPlay : A Benchmark for LLMs as Intelligent Agents. CoRR abs/2310.01557 (2023) - 2022
- [j52]Mariya Toneva, Tom M. Mitchell, Leila Wehbe:
Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. 2(11): 745-757 (2022) - [j51]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. Patterns 3(2): 100409 (2022) - [j50]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. Patterns 3(2): 100442 (2022) - [j49]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation in Bollywood and Hollywood. Patterns 3(4): 100486 (2022) - [j48]Abulhair Saparov, Tom M. Mitchell:
Towards General Natural Language Understanding with Probabilistic Worldbuilding. Trans. Assoc. Comput. Linguistics 10: 325-342 (2022) - [c147]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell:
Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health. SocInfo 2022: 159-180 - [c146]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. WebSci 2022: 269-278 - [i37]Robin Schmucker, Tom M. Mitchell:
Transferable Student Performance Modeling for Intelligent Tutoring Systems. CoRR abs/2202.03980 (2022) - 2021
- [c145]Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell:
Conversational Neuro-Symbolic Commonsense Reasoning. AAAI 2021: 4902-4911 - [c144]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. AAAI 2021: 14893-14901 - [c143]Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers:
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CHI 2021: 578:1-578:15 - [c142]Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. EMNLP (1) 2021: 7404-7418 - [c141]Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan:
WIT: Workshop on deriving Insights from user-generated Text. KDD 2021: 4131-4132 - [c140]Tom M. Mitchell:
Can We Replace Programming Languages by Natural Instruction? WI/IAT 2021: 3 - [i36]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. CoRR abs/2101.10112 (2021) - [i35]Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers:
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CoRR abs/2101.11103 (2021) - [i34]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood. CoRR abs/2102.09103 (2021) - [i33]Abulhair Saparov, Tom M. Mitchell:
A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. CoRR abs/2105.02486 (2021) - [i32]Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos:
Coarse-to-Fine Curriculum Learning. CoRR abs/2106.04072 (2021) - [i31]Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell:
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. CoRR abs/2109.01753 (2021) - [i30]Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. CoRR abs/2109.08544 (2021) - 2020
- [j47]Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell:
An agent for learning new natural language commands. Auton. Agents Multi Agent Syst. 34(1): 6 (2020) - [c139]George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos:
Contextual Parameter Generation for Knowledge Graph Link Prediction. AAAI 2020: 3000-3008 - [c138]Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers:
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations. ACL (demo) 2020: 215-223 - [c137]Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell:
Jelly Bean World: A Testbed for Never-Ending Learning. ICLR 2020 - [c136]Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell:
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. NeurIPS 2020 - [c135]Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, Brad A. Myers:
Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs. UIST 2020: 1094-1107 - [i29]Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell:
Jelly Bean World: A Testbed for Never-Ending Learning. CoRR abs/2002.06306 (2020) - [i28]Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers:
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. CoRR abs/2003.02622 (2020) - [i27]Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell:
Learning from Imperfect Annotations. CoRR abs/2004.03473 (2020) - [i26]Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell:
Conversational Neuro-Symbolic Commonsense Reasoning. CoRR abs/2006.10022 (2020) - [i25]Eric Horvitz, Tom M. Mitchell:
From Data to Knowledge to Action: A Global Enabler for the 21st Century. CoRR abs/2008.00045 (2020) - [i24]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell:
Discovering Bilingual Lexicons in Polyglot Word Embeddings. CoRR abs/2008.13347 (2020) - [i23]Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell:
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. CoRR abs/2009.08424 (2020) - [i22]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. CoRR abs/2010.02339 (2020)
2010 – 2019
- 2019
- [j46]Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics 45(4): 627-665 (2019) - [j45]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31(12): 2304-2318 (2019) - [c134]Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell:
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. ACL (1) 2019: 5137-5154 - [c133]Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. EMNLP/IJCNLP (1) 2019: 1129-1139 - [c132]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Learning to Ask for Conversational Machine Learning. EMNLP/IJCNLP (1) 2019: 4162-4172 - [c131]Dan Schwartz, Tom M. Mitchell:
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. NAACL-HLT (1) 2019: 43-57 - [c130]Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. NAACL-HLT (1) 2019: 1162-1172 - [c129]Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen:
Game Design for Eliciting Distinguishable Behavior. NeurIPS 2019: 4686-4695 - [c128]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. NeurIPS 2019: 15738-15749 - [c127]Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers:
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. UIST 2019: 577-589 - [i21]Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. CoRR abs/1902.08373 (2019) - [i20]Bishan Yang, Tom M. Mitchell:
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. CoRR abs/1902.09091 (2019) - [i19]Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. CoRR abs/1903.09848 (2019) - [i18]Dan Schwartz, Tom M. Mitchell:
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. CoRR abs/1904.01548 (2019) - [i17]Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom Michael Mitchell:
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. CoRR abs/1906.11861 (2019) - [i16]Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers:
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. CoRR abs/1909.00031 (2019) - [i15]Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. CoRR abs/1910.12197 (2019) - [i14]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. CoRR abs/1910.12795 (2019) - [i13]Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell:
Game Design for Eliciting Distinguishable Behavior. CoRR abs/1912.06074 (2019) - 2018
- [j44]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - [c126]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Zero-shot Learning of Classifiers from Natural Language Quantification. ACL (1) 2018: 306-316 - [c125]Igor Labutov, Shashank Srivastava, Tom M. Mitchell:
LIA: A Natural Language Programmable Personal Assistant. EMNLP (Demonstration) 2018: 145-150 - [c124]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. EMNLP 2018: 425-435 - [c123]Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. EMNLP 2018: 1676-1690 - [c122]Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS 2018: 140-151 - [c121]Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers:
APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions. VL/HCC 2018: 105-114 - [p3]Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell:
Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. Studies in Conversational UX Design 2018: 119-137 - [e2]Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, Leon D. Iasemidis, Tom M. Mitchell:
Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. Lecture Notes in Computer Science 11309, Springer 2018, ISBN 978-3-030-05586-8 [contents] - [i12]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. CoRR abs/1808.08493 (2018) - [i11]Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Information Extraction. CoRR abs/1811.05546 (2018) - 2017
- [j43]Sneha Chaudhari, Amos Azaria, Tom M. Mitchell:
An entity graph based Recommender System. AI Commun. 30(2): 141-149 (2017) - [c120]Bishan Yang, Tom M. Mitchell:
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. ACL (1) 2017: 1436-1446 - [c119]Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell:
A Probabilistic Generative Grammar for Semantic Parsing. CoNLL 2017: 248-259 - [c118]Bishan Yang, Tom M. Mitchell:
A Joint Sequential and Relational Model for Frame-Semantic Parsing. EMNLP 2017: 1247-1256 - [c117]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Joint Concept Learning and Semantic Parsing from Natural Language Explanations. EMNLP 2017: 1527-1536 - [c116]Shashank Srivastava, Amos Azaria, Tom M. Mitchell:
Parsing Natural Language Conversations using Contextual Cues. IJCAI 2017: 4089-4095 - [c115]Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz:
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. NIPS 2017: 4361-4370 - [c114]Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos:
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM 2017: 216-227 - [c113]Jerónimo Hernández-González, Estevam R. Hruschka Jr., Tom M. Mitchell:
Merging knowledge bases in different languages. TextGraphs@ACL 2017: 21-29 - [i10]Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz:
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. CoRR abs/1705.07086 (2017) - 2016
- [j42]Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy:
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications. Stat. Anal. Data Min. 9(4): 269-290 (2016) - [c112]Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell:
Instructable Intelligent Personal Agent. AAAI 2016: 2681-2689 - [c111]Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell:
Inferring Interpersonal Relations in Narrative Summaries. AAAI 2016: 2807-2813 - [c110]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. ICDM 2016: 871-876 - [c109]Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell:
Estimating Accuracy from Unlabeled Data: A Bayesian Approach. ICML 2016: 1416-1425 - [c108]Bishan Yang, Tom M. Mitchell:
Joint Extraction of Events and Entities within a Document Context. HLT-NAACL 2016: 289-299 - [c107]Derry Tanti Wijaya, Tom M. Mitchell:
Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua. HLT-NAACL 2016: 818-827 - [c106]Sneha Chaudhari, Amos Azaria, Tom M. Mitchell:
An Entity Graph Based Recommender System. RecSys Posters 2016 - [i9]Bishan Yang, Ndapandula Nakashole, Bryan Kisiel, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell:
CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. TAC 2016 - [i8]Abulhair Saparov, Tom M. Mitchell:
A Probabilistic Generative Grammar for Semantic Parsing. CoRR abs/1606.06361 (2016) - [i7]Bishan Yang, Tom M. Mitchell:
Joint Extraction of Events and Entities within a Document Context. CoRR abs/1609.03632 (2016) - [i6]Ndapandula Nakashole, Tom M. Mitchell:
Machine Reading with Background Knowledge. CoRR abs/1612.05348 (2016) - 2015
- [j41]Jayant Krishnamurthy, Tom M. Mitchell:
Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary. Trans. Assoc. Comput. Linguistics 3: 257-270 (2015) - [c105]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-Ending Learning. AAAI 2015: 2302-2310 - [c104]Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell:
Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. AAAI Spring Symposia 2015 - [c103]Ndapandula Nakashole, Tom M. Mitchell:
A Knowledge-Intensive Model for Prepositional Phrase Attachment. ACL (1) 2015: 365-375 - [c102]Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell:
Sense discovery via co-clustering on images and text. CVPR 2015: 5298-5306 - [c101]Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell:
"A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History. EMNLP 2015: 518-523 - [c100]Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu:
Translation Invariant Word Embeddings. EMNLP 2015: 1084-1088 - [c99]Matt Gardner, Tom M. Mitchell:
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. EMNLP 2015: 1488-1498 - [c98]Mehdi Samadi, Partha Pratim Talukdar, Manuela M. Veloso, Tom M. Mitchell:
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand. IJCAI 2015: 837-843 - [c97]Alona Fyshe, Leila Wehbe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
A Compositional and Interpretable Semantic Space. HLT-NAACL 2015: 32-41 - [c96]Kejun Huang, Nicholas D. Sidiropoulos, Evangelos E. Papalexakis, Christos Faloutsos, Partha Pratim Talukdar, Tom M. Mitchell:
Principled Neuro-Functional Connectivity Discovery. SDM 2015: 631-639 - [c95]Alan Ritter, Evan Wright, William Casey, Tom M. Mitchell:
Weakly Supervised Extraction of Computer Security Events from Twitter. WWW 2015: 896-905 - [i5]Bryan Kisiel, Bill McDowell, Matt Gardner, Ndapandula Nakashole, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell:
CMUML System for KBP 2015 Cold Start Slot Filling. TAC 2015 - [i4]Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell:
Inferring Interpersonal Relations in Narrative Summaries. CoRR abs/1512.00112 (2015) - 2014
- [j40]Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Big Data 2(4): 216-229 (2014) - [j39]Jan Kujala, Gustavo P. Sudre, Johanna Vartiainen, Mia Liljeström, Tom M. Mitchell, Riitta Salmelin:
Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing. NeuroImage 92: 207-216 (2014) - [c94]Alona Fyshe, Partha Pratim Talukdar, Brian Murphy, Tom M. Mitchell:
Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning. ACL (1) 2014: 489-499 - [c93]Ndapandula Nakashole, Tom M. Mitchell:
Language-Aware Truth Assessment of Fact Candidates. ACL (1) 2014: 1009-1019 - [c92]Jayant Krishnamurthy, Tom M. Mitchell:
Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar. ACL (1) 2014: 1188-1198 - [c91]Leila Wehbe, Ashish Vaswani, Kevin Knight, Tom M. Mitchell:
Aligning context-based statistical models of language with brain activity during reading. EMNLP 2014: 233-243 - [c90]Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell:
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. EMNLP 2014: 397-406 - [c89]Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell:
CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection. EMNLP 2014: 1930-1936 - [c88]Justin Betteridge, Alan Ritter, Tom M. Mitchell:
Assuming Facts Are Expressed More Than Once. FLAIRS 2014 - [c87]Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. KDD 2014: 95-104 - [c86]Evangelos E. Papalexakis, Christos Faloutsos, Tom M. Mitchell, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Brian Murphy:
Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x. SDM 2014: 118-126 - [c85]Emmanouil Antonios Platanios, Avrim Blum, Tom M. Mitchell:
Estimating Accuracy from Unlabeled Data. UAI 2014: 682-691 - [i3]William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen:
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. CoRR abs/1404.3301 (2014) - 2013
- [c84]Jayant Krishnamurthy, Tom M. Mitchell:
Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models. CVSM@ACL 2013: 1-10 - [c83]Derry Wijaya, Partha Pratim Talukdar, Tom M. Mitchell:
PIDGIN: ontology alignment using web text as interlingua. CIKM 2013: 589-598 - [c82]Alona Fyshe, Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell:
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition. CoNLL 2013: 84-93 - [c81]Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell:
Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. EMNLP 2013: 833-838 - [i2]Bryan Kisiel, Justin Betteridge, Matt Gardner, Jayant Krishnamurthy, Ndapa Nakashole, Mehdi Samadi, Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell:
CMUML System for KBP 2013 Slot Filling. TAC 2013 - [i1]Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy:
Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization. CoRR abs/1302.7043 (2013) - 2012
- [j38]Gustavo P. Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, Tom M. Mitchell:
Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage 62(1): 451-463 (2012) - [c80]Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell:
Acquiring temporal constraints between relations. CIKM 2012: 992-1001 - [c79]Brian Murphy, Partha Pratim Talukdar, Tom M. Mitchell:
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding. COLING 2012: 1933-1950 - [c78]Tom M. Mitchell:
Never Ending Learning. ECAI 2012: 5 - [c77]Jayant Krishnamurthy, Tom M. Mitchell:
Weakly Supervised Training of Semantic Parsers. EMNLP-CoNLL 2012: 754-765 - [c76]Brian Murphy, Partha P. Talukdar, Tom M. Mitchell:
Selecting Corpus-Semantic Models for Neurolinguistic Decoding. *SEM@NAACL-HLT 2012: 114-123 - [c75]Partha Pratim Talukdar, Derry Wijaya, Tom M. Mitchell:
Coupled temporal scoping of relational facts. WSDM 2012: 73-82 - [c74]Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell:
Hierarchical Latent Dictionaries for Models of Brain Activation. AISTATS 2012: 409-421 - 2011
- [j37]Svetlana V. Shinkareva, Vicente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just:
Commonality of neural representations of words and pictures. NeuroImage 54(3): 2418-2425 (2011) - [j36]Kai-min Kevin Chang, Tom M. Mitchell, Marcel Adam Just:
Quantitative modeling of the neural representation of objects: How semantic feature norms can account for fMRI activation. NeuroImage 56(2): 716-727 (2011) - [c73]Jayant Krishnamurthy, Tom M. Mitchell:
Which Noun Phrases Denote Which Concepts? ACL 2011: 570-580 - [c72]Ni Lao, Tom M. Mitchell, William W. Cohen:
Random Walk Inference and Learning in A Large Scale Knowledge Base. EMNLP 2011: 529-539 - [c71]Thahir Mohamed, Estevam R. Hruschka Jr., Tom M. Mitchell:
Discovering Relations between Noun Categories. EMNLP 2011: 1447-1455 - [c70]Tom M. Mitchell:
Neural Representations of Word Meanings. INTERSPEECH 2011: 4002 - 2010
- [c69]Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell:
Toward an Architecture for Never-Ending Language Learning. AAAI 2010: 1306-1313 - [c68]Edith Law, Burr Settles, Tom M. Mitchell:
Learning to Tag from Open Vocabulary Labels. ECML/PKDD (2) 2010: 211-226 - [c67]Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell:
Coupled semi-supervised learning for information extraction. WSDM 2010: 101-110
2000 – 2009
- 2009
- [j35]Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph:
A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors. J. Comput. Biol. 16(8): 1035-1049 (2009) - [j34]Francisco Pereira, Tom M. Mitchell, Matthew M. Botvinick:
Machine learning classifiers and fMRI: A tutorial overview. NeuroImage 45(1): S199-S209 (2009) - [j33]Rebecca A. Hutchinson, Radu Stefan Niculescu, Timothy A. Keller, Indrayana Rustandi, Tom M. Mitchell:
Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models. NeuroImage 46(1): 87-104 (2009) - [c66]Justin Betteridge, Andrew Carlson, Sue Ann Hong, Estevam R. Hruschka Jr., Edith L. M. Law, Tom M. Mitchell, Sophie H. Wang:
Toward Never Ending Language Learning. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 1-2 - [c65]Yifen Huang, Tom M. Mitchell:
Toward Mixed-Initiative Email Clustering. AAAI Spring Symposium: Agents that Learn from Human Teachers 2009: 71-78 - [c64]Kai-min Kevin Chang, Vladimir Cherkassky, Tom M. Mitchell, Marcel Adam Just:
Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation. ACL/IJCNLP 2009: 638-646 - [c63]Edith Law, Luis von Ahn, Tom M. Mitchell:
Search war: a game for improving web search. KDD Workshop on Human Computation 2009: 31 - [c62]Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell:
Zero-shot Learning with Semantic Output Codes. NIPS 2009: 1410-1418 - [c61]Tom M. Mitchell, Justin Betteridge, Andrew Carlson, Estevam R. Hruschka Jr., Richard C. Wang:
Populating the Semantic Web by Macro-reading Internet Text. ISWC 2009: 998-1002 - 2008
- [c60]Tom M. Mitchell:
Computational Models of Neural Representations in the Human Brain. ALT 2008: 5-6 - [c59]Tom M. Mitchell:
Computational Models of Neural Representations in the Human Brain. Discovery Science 2008: 26-27 - [c58]Yanxin Shi, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph:
A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors. RECOMB 2008: 82-97 - 2007
- [j32]Danny Hillis, John McCarthy, Tom M. Mitchell, Erik T. Mueller, Doug Riecken, Aaron Sloman, Patrick Henry Winston:
In Honor of Marvin Minsky's Contributions on his 80th Birthday. AI Mag. 28(4): 103-110 (2007) - [j31]Yanxin Shi, Tom M. Mitchell, Ziv Bar-Joseph:
Inferring pairwise regulatory relationships from multiple time series datasets. Bioinform. 23(6): 755-763 (2007) - [c57]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
Modeling the fMRI Signal via Hierarchical Clustered Hidden Process Models. AMIA 2007 - [c56]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints. IJCAI 2007: 155-160 - [c55]Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchell, Eric P. Xing:
Feature selection for grasp recognition from optical markers. IROS 2007: 2944-2950 - [c54]Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph:
Continuous hidden process model for time series expression experiments. ISMB/ECCB (Supplement of Bioinformatics) 2007: 459-467 - [c53]Tom M. Mitchell:
Learning, Information Extraction and the Web. ECML/PKDD 2007: 1 - [c52]Mark Palatucci, Tom M. Mitchell:
Classification in Very High Dimensional Problems with Handfuls of Examples. PKDD 2007: 212-223 - 2006
- [j30]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
Bayesian Network Learning with Parameter Constraints. J. Mach. Learn. Res. 7: 1357-1383 (2006) - [c51]Tom M. Mitchell, Sophie H. Wang, Yifen Huang, Adam Cheyer:
Extracting Knowledge about Users' Activities from Raw Workstation Contents. AAAI 2006: 181-186 - [c50]Rebecca A. Hutchinson, Tom M. Mitchell, Indrayana Rustandi:
Hidden process models. ICML 2006: 433-440 - [c49]Yifen Huang, Tom M. Mitchell:
Text clustering with extended user feedback. SIGIR 2006: 413-420 - [p2]Kamal Nigam, Andrew McCallum, Tom M. Mitchell:
Semi-Supervised Text Classification Using EM. Semi-Supervised Learning 2006: 32-55 - 2005
- [j29]Tom M. Mitchell, Hector J. Levesque:
The 2005 AAAI Classic Paper Awards. AI Mag. 26(4): 98-99 (2005) - [j28]Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell:
Predicting dire outcomes of patients with community acquired pneumonia. J. Biomed. Informatics 38(5): 347-366 (2005) - [c48]Qiong Chen, Tom M. Mitchell:
Learning Topic-Based Mixture Models for Factored Classification. CIMCA/IAWTIC 2005: 25-31 - [c47]Qiong Chen, Tom M. Mitchell:
Learning Topic-Based Mixture Models for Factored Classification. CIMCA/IAWTIC 2005: 1114-1120 - [c46]Tom M. Mitchell:
Machine Learning for Analyzing Human Brain Function. PAKDD 2005: 1 - [c45]Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat Rao:
Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models. SDM 2005: 310-321 - 2004
- [j27]Tom M. Mitchell, Rebecca A. Hutchinson, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman:
Learning to Decode Cognitive States from Brain Images. Mach. Learn. 57(1-2): 145-175 (2004) - [c44]Yifen Huang, Dinesh Govindaraju, Tom M. Mitchell, Vitor Rocha de Carvalho, William W. Cohen:
Inferring Ongoing Activities of Workstation Users by Clustering Email. CEAS 2004 - [c43]William W. Cohen, Vitor R. Carvalho, Tom M. Mitchell:
Learning to Classify Email into "Speech Acts". EMNLP 2004: 309-316 - [c42]Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell:
Detecting Significant Multidimensional Spatial Clusters. NIPS 2004: 969-976 - [c41]Tom M. Mitchell:
Intelligent Workstation Agents and Unstructured Workstation Data. Web Intelligence 2004: 6 - 2003
- [j26]Peter E. Hart, Nils J. Nilsson, Ray Perrault, Tom M. Mitchell, Casimir A. Kulikowski:
In Memoriam: Charles Rosen, Norman Nielsen, and Saul Amarel. AI Mag. 24(1): 6-12 (2003) - [j25]David Mike Hamilton, Tom M. Mitchell, Carol McKenna Hamilton:
AI Matures and Flourishes in North America. IEEE Intell. Syst. 18(4): 87- (2003) - [c40]Tom M. Mitchell:
Artificial Intelligence and Human Brain Imaging. AI 2003: 7 - [c39]Tom M. Mitchell, Rebecca A. Hutchinson, Marcel Adam Just, Radu Stefan Niculescu, Francisco Pereira, Xuerui Wang:
Classifying Instantaneous Cognitive States from fMRI Data. AMIA 2003 - [c38]Xuerui Wang, Rebecca A. Hutchinson, Tom M. Mitchell:
Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects. NIPS 2003: 709-716 - 2001
- [j24]Tom M. Mitchell:
Author's response to reviews of Machine Learning. Artif. Intell. 131(1-2): 223-225 (2001) - [j23]Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari:
AAAI 2000 Workshop Reports. AI Mag. 22(1): 127-136 (2001) - [c37]Tom M. Mitchell:
Extracting targeted data from the web. KDD 2001: 3 - [c36]Francisco Pereira, Marcel Adam Just, Tom M. Mitchell:
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation. PKDD 2001: 374-385 - 2000
- [j22]Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery:
Learning to construct knowledge bases from the World Wide Web. Artif. Intell. 118(1-2): 69-113 (2000) - [j21]Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun, Tom M. Mitchell:
Text Classification from Labeled and Unlabeled Documents using EM. Mach. Learn. 39(2/3): 103-134 (2000) - [c35]Seán Slattery, Tom M. Mitchell:
Discovering Test Set Regularities in Relational Domains. ICML 2000: 895-902
1990 – 1999
- 1999
- [j20]Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry A. Wasserman:
Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field. AI Mag. 20(3): 78-82 (1999) - [j19]Tom M. Mitchell:
Machine Learning and Data Mining. Commun. ACM 42(11): 30-36 (1999) - 1998
- [c34]Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, Kamal Nigam, Seán Slattery:
Learning to Extract Symbolic Knowledge from the World Wide Web. AAAI/IAAI 1998: 509-516 - [c33]Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell:
Learning to Classify Text from Labeled and Unlabeled Documents. AAAI/IAAI 1998: 792-799 - [c32]Avrim Blum, Tom M. Mitchell:
Combining Labeled and Unlabeled Data with Co-Training. COLT 1998: 92-100 - [c31]Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng:
Improving Text Classification by Shrinkage in a Hierarchy of Classes. ICML 1998: 359-367 - 1997
- [b1]Tom M. Mitchell:
Machine learning, International Edition. McGraw-Hill Series in Computer Science, McGraw-Hill 1997, ISBN 978-0-07-042807-2, pp. I-XVII, 1-414 - [j18]Tom M. Mitchell:
Does Machine Learning Really Work? AI Mag. 18(3): 11-20 (1997) - [j17]Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes:
An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine 9(2): 107-138 (1997) - [c30]Tom M. Mitchell:
Machine Learning Meets Natural Language. EPIA 1997: 391 - [c29]Thorsten Joachims, Dayne Freitag, Tom M. Mitchell:
Web Watcher: A Tour Guide for the World Wide Web. IJCAI (1) 1997: 770-777 - 1996
- [c28]Bart Selman, Rodney A. Brooks, Thomas L. Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson:
Challenge Problems for Artificial Intelligence (Panel Statements). AAAI/IAAI, Vol. 2 1996: 1340-1345 - 1995
- [j16]Sebastian Thrun, Tom M. Mitchell:
Lifelong robot learning. Robotics Auton. Syst. 15(1-2): 25-46 (1995) - [c27]Tom M. Mitchell:
Machine Learning in the World Wide Web. ECML 1995: 32 - [c26]Sebastian Thrun, Tom M. Mitchell:
Learning One More Thing. IJCAI 1995: 1217-1225 - [c25]Rich Caruana, Shumeet Baluja, Tom M. Mitchell:
Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation. NIPS 1995: 959-965 - 1994
- [j15]Tom M. Mitchell, Rich Caruana, Dayne Freitag, John P. McDermott, David Zabowski:
Experience with a Learning Personal Assistant. Commun. ACM 37(7): 80-91 (1994) - 1993
- [j14]Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli:
An Apprentice-Based Approach to Knowledge Acquisition. Artif. Intell. 64(1): 1-52 (1993) - [j13]Georgette H. Demes, Steven J. Fenves, Ignacio E. Grossmann, Chris T. Hendrickson, Tom M. Mitchell, Friedrich B. Prinz, Daniel P. Siewiorek, Eswaran Subrahmanian, Sarosh Talukdar, Arthur Westerberg:
The engineering design research center of Carnegie Mellon University. Proc. IEEE 81(1): 10-24 (1993) - [c24]Siegfried Bocionek, Tom M. Mitchell:
Office Automation Systems that are "Programmed" by their Users. GI Jahrestagung 1993: 214-219 - [c23]Tom M. Mitchell, Sebastian Thrun:
Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. ICML 1993: 197-204 - [c22]Sebastian Thrun, Tom M. Mitchell:
Integrating Inductive Neural Network Learning and Explanation-Based Learning. IJCAI 1993: 930-936 - 1992
- [c21]C. Lisa Dent, Jesus Boticario, John P. McDermott, Tom M. Mitchell, David Zabowski:
A Personal Learning Apprentice. AAAI 1992: 96-103 - [c20]Tom M. Mitchell, Sebastian Thrun:
Explanation-Based Neural Network Learning for Robot Control. NIPS 1992: 287-294 - 1991
- [j12]Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell:
Learning reliable manipulation strategies without initial physical models. Robotics Auton. Syst. 8(1-2): 7-18 (1991) - [j11]Tom M. Mitchell:
Plan-Then-Compile Architectures. SIGART Bull. 2(4): 136-139 (1991) - [c19]Tom M. Mitchell:
Personal Learning Apprentices. ISMIS 1991: 35-37 - [p1]Jeffrey C. Schlimmer, Tom M. Mitchell, John P. McDermott:
Justification-Based Refinement of Expert Knowledge. Knowledge Discovery in Databases 1991: 397-410 - 1990
- [j10]Toshikazu Tanaka, Tom M. Mitchell:
Embedding Learning in a General Frame-Based Architecture. Int. J. Pattern Recognit. Artif. Intell. 4(2): 125-146 (1990) - [c18]Tom M. Mitchell:
Becoming Increasingly Reactive. AAAI 1990: 1051-1058 - [c17]Alan D. Christiansen, Matthew T. Mason, Tom M. Mitchell:
Learning reliable manipulation strategies without initial physical models. ICRA 1990: 1224-1230
1980 – 1989
- 1989
- [j9]John Bares, Martial Hebert, Takeo Kanade, Eric Krotkov, Tom M. Mitchell, Reid G. Simmons, William Whittaker:
Ambler: An Autonomous Rover for Planetary Exploration. Computer 22(6): 18-26 (1989) - [c16]Matthew T. Mason, Alan D. Christiansen, Tom M. Mitchell:
Experiments in Robot Learning. ML 1989: 141-145 - [c15]Jim Blythe, Tom M. Mitchell:
On Becoming Reactive. ML 1989: 255-259 - [c14]Toshikazu Tanaka, Tom M. Mitchell:
Embedding learning in a general frame-based architecture. TAI 1989: 77-84 - 1988
- [e1]Howard E. Shrobe, Tom M. Mitchell, Reid G. Smith:
Proceedings of the 7th National Conference on Artificial Intelligence, St. Paul, MN, USA, August 21-26, 1988. AAAI Press / The MIT Press 1988, ISBN 0-262-51055-3 [contents] - 1986
- [j8]Tom M. Mitchell, Richard M. Keller, Smadar T. Kedar-Cabelli:
Explanation-Based Generalization: A Unifying View. Mach. Learn. 1(1): 47-80 (1986) - 1985
- [j7]Louis I. Steinberg, Tom M. Mitchell:
The Redesign System: A Knowledge-Based Approach to VLSI CAD. IEEE Des. Test 2(1): 45-54 (1985) - [j6]Tom M. Mitchell, Louis I. Steinberg, Jeffrey S. Shulman:
A Knowledge-Based Approach to Design. IEEE Trans. Pattern Anal. Mach. Intell. 7(5): 502-510 (1985) - [c13]Alexander Borgida, Tom M. Mitchell, Keith E. Williamson:
Learning Improved Integrity Constraints and Schemes From Exceptions in Data and Knowledge Bases. On Knowledge Base Management Systems (Islamorada) 1985: 259-286 - [c12]Tom M. Mitchell:
Learning in Knowledge-Base Management Systems. On Knowledge Base Management Systems (Islamorada) 1985: 403-406 - [c11]Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg:
LEAP: A Learning Apprentice for VLSI Design. IJCAI 1985: 573-580 - [c10]Reid G. Smith, Howard A. Winston, Tom M. Mitchell, Bruce G. Buchanan:
Representation and Use of Explicit Justifications for Knowledge Base Refinements. IJCAI 1985: 673-680 - 1984
- [c9]Louis I. Steinberg, Tom M. Mitchell:
A knowledge based approach to VLSI CAD the redesign system. DAC 1984: 412-418 - 1983
- [j5]Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell:
Machine Learning: A Historical and Methodological Analysis. AI Mag. 4(3): 69-79 (1983) - [c8]Tom M. Mitchell, Louis I. Steinberg, Smadar T. Kedar-Cabelli, Van E. Kelly, Jeffrey S. Shulman, Timothy Weinrich:
An Intelligent Aid for Circuit Redesign. AAAI 1983: 274-278 - [c7]Tom M. Mitchell:
Learning and Problem Solving. IJCAI 1983: 1139-1151 - 1982
- [j4]Tom M. Mitchell:
Generalization as Search. Artif. Intell. 18(2): 203-226 (1982) - [j3]Tom M. Mitchell:
Artificial Intelligence Research at Rutgers. AI Mag. 3(2): 36-43 (1982) - [j2]Derek H. Sleeman, Pat Langley, Tom M. Mitchell:
Learning from Solution Paths: An Approach to the Credit Assignment Problem. AI Mag. 3(2): 48-52 (1982) - [c6]Paul E. Utgoff, Tom M. Mitchell:
Acquisition of Appropriate Bias for Inductive Concept Learning. AAAI 1982: 414-417 - 1981
- [c5]Tom M. Mitchell, Paul E. Utgoff, Bernard Nudel, Ranan B. Banerji:
Learning Problem-Solving Heuristics Through Practice. IJCAI 1981: 127-134 - [c4]Tom M. Mitchell, Louis I. Steinberg, Reid G. Smith, Pat Schooley, Howard Jacobs, Van E. Kelly:
Representations for Reasoning about Digital Circuits. IJCAI 1981: 343-344
1970 – 1979
- 1979
- [c3]Tom M. Mitchell:
An Analysis of Generalization as a Search Problem. IJCAI 1979: 577-582 - 1977
- [j1]Bruce G. Buchanan, Tom M. Mitchell:
Model-directed learning of production rules. SIGART Newsl. 63: 44 (1977) - [c2]Tom M. Mitchell:
Version Spaces: A Candidate Elimination Approach to Rule Learning. IJCAI 1977: 305-310 - [c1]Reid G. Smith, Tom M. Mitchell, R. A. Chestek, Bruce G. Buchanan:
A Model for Learning Systems. IJCAI 1977: 338-343
Coauthor Index
Estevam Hruschka
aka: Estevam R. Hruschka Jr.
aka: Estevam R. Hruschka Jr.
Ndapandula Nakashole
aka: Ndapa Nakashole
aka: Ndapa Nakashole
Emmanouil A. Platanios
aka: Emmanouil Antonios Platanios
aka: Emmanouil Antonios Platanios
Nicholas D. Sidiropoulos
aka: Nikos D. Sidiropoulos
aka: Nikos D. Sidiropoulos
Partha P. Talukdar
aka: Partha Pratim Talukdar
aka: Partha Pratim Talukdar
Derry Wijaya
aka: Derry Tanti Wijaya
aka: Derry Tanti Wijaya
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