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ORCID18th PKDD / 25th ECML 2014: Nancy, France
- Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8725, Springer 2014, ISBN 978-3-662-44850-2
Main Track Contributions
- Junpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa:
Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle. 1-17 - Meelis Kull, Peter A. Flach
:
Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy. 18-33 - Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines:
Causal Clustering for 2-Factor Measurement Models. 34-49 - Finn Kuusisto, Vítor Santos Costa, Houssam Nassif, Elizabeth S. Burnside, David Page, Jude W. Shavlik:
Support Vector Machines for Differential Prediction. 50-65 - Prashanth L. A., Nathaniel Korda, Rémi Munos:
Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control. 66-81 - Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont:
Mining Top-K Largest Tiles in a Data Stream. 82-97 - Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt:
Ranked Tiling. 98-113 - Matthijs van Leeuwen, Antti Ukkonen:
Fast Estimation of the Pattern Frequency Spectrum. 114-129 - Joël Legrand, Ronan Collobert:
Recurrent Greedy Parsing with Neural Networks. 130-144 - Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
FILTA: Better View Discovery from Collections of Clusterings via Filtering. 145-160 - Rémi Lemonnier, Nicolas Vayatis:
Nonparametric Markovian Learning of Triggering Kernels for Mutually Exciting and Mutually Inhibiting Multivariate Hawkes Processes. 161-176 - Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu:
Learning Binary Codes with Bagging PCA. 177-192 - Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Conic Multi-task Classification. 193-208 - Xin Li, Yuhong Guo:
Bi-directional Representation Learning for Multi-label Classification. 209-224 - Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy:
Optimal Thresholding of Classifiers to Maximize F1 Measure. 225-239 - Viliam Lisý, Robert Kessl, Tomás Pevný:
Randomized Operating Point Selection in Adversarial Classification. 240-255 - Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen:
Hierarchical Latent Tree Analysis for Topic Detection. 256-272 - Xianghang Liu, Xinhua Zhang, Tibério S. Caetano:
Bayesian Models for Structured Sparse Estimation via Set Cover Prior. 273-289 - Yong Liu, Shizhong Liao:
Preventing Over-Fitting of Cross-Validation with Kernel Stability. 290-305 - Artémis Llamosi, Adel Mezine, Florence d'Alché-Buc, Véronique Letort, Michèle Sebag:
Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning Approach. 306-321 - Miguel Lopes, Gianluca Bontempi:
On the Null Distribution of the Precision and Recall Curve. 322-337 - Jaakko Luttinen, Tapani Raiko, Alexander Ilin:
Linear State-Space Model with Time-Varying Dynamics. 338-353 - Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama:
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions. 354-369 - Victorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes:
GMRF Estimation under Topological and Spectral Constraints. 370-385 - Louise A. C. Millard, Peter A. Flach, Julian P. T. Higgins:
Rate-Constrained Ranking and the Rate-Weighted AUC. 386-403 - Louise A. C. Millard, Meelis Kull, Peter A. Flach:
Rate-Oriented Point-Wise Confidence Bounds for ROC Curves. 404-421 - Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese:
A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration. 422-436 - Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz:
Large-Scale Multi-label Text Classification - Revisiting Neural Networks. 437-452 - Pablo Nascimento da Silva, Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas:
Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains. 453-468 - Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic:
A Unified Framework for Probabilistic Component Analysis. 469-484 - Feiping Nie, Xiao Cai, Heng Huang:
Flexible Shift-Invariant Locality and Globality Preserving Projections. 485-500 - Dino Oglic, Daniel Paurat, Thomas Gärtner:
Interactive Knowledge-Based Kernel PCA. 501-516 - Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman:
A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction. 517-532 - Saurabh Paul, Petros Drineas:
Deterministic Feature Selection for Regularized Least Squares Classification. 533-548 - Bilal Piot, Matthieu Geist, Olivier Pietquin:
Boosted Bellman Residual Minimization Handling Expert Demonstrations. 549-564 - Nikolaos Pitelis, Chris Russell, Lourdes Agapito:
Semi-supervised Learning Using an Unsupervised Atlas. 565-580 - Gabriel Poesia, Loïc Cerf:
A Lossless Data Reduction for Mining Constrained Patterns in n-ary Relations. 581-596 - Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos:
Interestingness-Driven Diffusion Process Summarization in Dynamic Networks. 597-613 - Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic:
Neural Gaussian Conditional Random Fields. 614-629 - Tahrima Rahman, Prasanna V. Kothalkar, Vibhav Gogate:
Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees. 630-645 - Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang:
Boosted Mean Shift Clustering. 646-661 - Thomas Ricatte, Rémi Gilleron, Marc Tommasi:
Hypernode Graphs for Spectral Learning on Binary Relations over Sets. 662-677 - Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis:
Discovering Dynamic Communities in Interaction Networks. 678-693 - Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang:
Anti-discrimination Analysis Using Privacy Attack Strategies. 694-710
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