Table of Contents

• Robust Distributed Training of Linear Classifiers Based on Divergence Minimization PrincipleJunpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa. 1-17 [doi]
• Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification AccuracyMeelis Kull, Peter A. Flach. 18-33 [doi]
• Causal Clustering for 2-Factor Measurement ModelsErich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines. 34-49 [doi]
• Support Vector Machines for Differential PredictionFinn Kuusisto, Vítor Santos Costa, Houssam Nassif, Elizabeth S. Burnside, David Page, Jude W. Shavlik. 50-65 [doi]
• Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic ControlPrashanth L. A., Nathaniel Korda, Rémi Munos. 66-81 [doi]
• Mining Top-K Largest Tiles in a Data StreamHoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont. 82-97 [doi]
• Ranked TilingThanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt. 98-113 [doi]
• Fast Estimation of the Pattern Frequency SpectrumMatthijs van Leeuwen, Antti Ukkonen. 114-129 [doi]
• Recurrent Greedy Parsing with Neural NetworksJoël Legrand, Ronan Collobert. 130-144 [doi]
• FILTA: Better View Discovery from Collections of Clusterings via FilteringYang Lei, Nguyen Xuan Vinh, Jeffrey Chan, James Bailey. 145-160 [doi]
• Nonparametric Markovian Learning of Triggering Kernels for Mutually Exciting and Mutually Inhibiting Multivariate Hawkes ProcessesRémi Lemonnier, Nicolas Vayatis. 161-176 [doi]
• Learning Binary Codes with Bagging PCACong Leng, Jian Cheng, Ting Yuan, Xiao Bai 0001, Hanqing Lu. 177-192 [doi]
• Conic Multi-task ClassificationCong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos. 193-208 [doi]
• Bi-directional Representation Learning for Multi-label ClassificationXin Li, Yuhong Guo. 209-224 [doi]
• Optimal Thresholding of Classifiers to Maximize F1 MeasureZachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy. 225-239 [doi]
• Randomized Operating Point Selection in Adversarial ClassificationViliam Lisý, Robert Kessl, Tomás Pevný. 240-255 [doi]
• Hierarchical Latent Tree Analysis for Topic DetectionTengfei Liu, Nevin Lianwen Zhang, Peixian Chen. 256-272 [doi]
• Bayesian Models for Structured Sparse Estimation via Set Cover PriorXianghang Liu, Xinhua Zhang, Tibério S. Caetano. 273-289 [doi]
• Preventing Over-Fitting of Cross-Validation with Kernel StabilityYong Liu, Shizhong Liao. 290-305 [doi]
• Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning ApproachArtémis Llamosi, Adel Mezine, Florence d'Alché-Buc, Véronique Letort, Michèle Sebag. 306-321 [doi]
• On the Null Distribution of the Precision and Recall CurveMiguel Lopes, Gianluca Bontempi. 322-337 [doi]
• Linear State-Space Model with Time-Varying DynamicsJaakko Luttinen, Tapani Raiko, Alexander Ilin. 338-353 [doi]
• An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and ActionsYao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama. 354-369 [doi]
• GMRF Estimation under Topological and Spectral ConstraintsVictorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes. 370-385 [doi]
• Rate-Constrained Ranking and the Rate-Weighted AUCLouise A. C. Millard, Peter A. Flach, Julian P. T. Higgins. 386-403 [doi]
• Rate-Oriented Point-Wise Confidence Bounds for ROC CurvesLouise A. C. Millard, Meelis Kull, Peter A. Flach. 404-421 [doi]
• A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset EnumerationShin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese. 422-436 [doi]
• Large-Scale Multi-label Text Classification - Revisiting Neural NetworksJinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz. 437-452 [doi]
• Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier ChainsPablo Nascimento da Silva, Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas. 453-468 [doi]
• A Unified Framework for Probabilistic Component AnalysisMihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic. 469-484 [doi]
• Flexible Shift-Invariant Locality and Globality Preserving ProjectionsFeiping Nie, Xiao Cai, Heng Huang. 485-500 [doi]
• Interactive Knowledge-Based Kernel PCADino Oglic, Daniel Paurat, Thomas Gärtner. 501-516 [doi]
• A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic PredictionTapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman. 517-532 [doi]
• Deterministic Feature Selection for Regularized Least Squares ClassificationSaurabh Paul, Petros Drineas. 533-548 [doi]
• Boosted Bellman Residual Minimization Handling Expert DemonstrationsBilal Piot, Matthieu Geist, Olivier Pietquin. 549-564 [doi]
• Semi-supervised Learning Using an Unsupervised AtlasNikolaos Pitelis, Chris Russell, Lourdes de Agapito. 565-580 [doi]
• A Lossless Data Reduction for Mining Constrained Patterns in n-ary RelationsGabriel Poesia, Loïc Cerf. 581-596 [doi]
• Interestingness-Driven Diffusion Process Summarization in Dynamic NetworksQiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos. 597-613 [doi]
• Neural Gaussian Conditional Random FieldsVladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic. 614-629 [doi]
• Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu TreesTahrima Rahman, Prasanna Kothalkar, Vibhav Gogate. 630-645 [doi]
• Boosted Mean Shift ClusteringYa-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang. 646-661 [doi]
• Hypernode Graphs for Spectral Learning on Binary Relations over SetsThomas Ricatte, Rémi Gilleron, Marc Tommasi. 662-677 [doi]
• Discovering Dynamic Communities in Interaction NetworksPolina Rozenshtein, Nikolaj Tatti, Aristides Gionis. 678-693 [doi]
• Anti-discrimination Analysis Using Privacy Attack StrategiesSalvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang. 694-710 [doi]