Abstract is missing.
- Data Split Strategiesfor Evolving Predictive ModelsVikas C. Raykar, Amrita Saha. 3-19 [doi]
- Discriminative Interpolation for Classification of Functional DataRana Haber, Anand Rangarajan, Adrian M. Peter. 20-36 [doi]
- Fast Label Embeddings via Randomized Linear AlgebraPaul Mineiro, Nikos Karampatziakis. 37-51 [doi]
- Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional RepresentationWojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor. 52-67 [doi]
- Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to CalibrationMeelis Kull, Peter A. Flach. 68-85 [doi]
- Parameter Learning of Bayesian Network Classifiers Under Computational ConstraintsSebastian Tschiatschek, Franz Pernkopf. 86-101 [doi]
- Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label LearningJinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz. 102-118 [doi]
- Regression with Linear Factored FunctionsWendelin Böhmer, Klaus Obermayer. 119-134 [doi]
- Ridge Regression, Hubness, and Zero-Shot LearningYutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto. 135-151 [doi]
- Solving Prediction Games with Parallel Batch Gradient DescentMichael Großhans, Tobias Scheffer. 152-167 [doi]
- Structured Regularizer for Neural Higher-Order Sequence ModelsMartin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf. 168-183 [doi]
- Versatile Decision Trees for Learning Over Multiple ContextsReem Al-Otaibi, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach. 184-199 [doi]
- When is Undersampling Effective in Unbalanced Classification Tasks?Andrea Dal Pozzolo, Olivier Caelen, Gianluca Bontempi. 200-215 [doi]
- A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance ComparisonsEhsan Amid, Aristides Gionis, Antti Ukkonen. 219-234 [doi]
- Bayesian Active Clustering with Pairwise ConstraintsYuanli Pei, Li-Ping Liu, Xiaoli Z. Fern. 235-250 [doi]
- ConDist: A Context-Driven Categorical Distance MeasureMarkus Ring, Florian Otto, Martin Becker 0003, Thomas Niebler, Dieter Landes, Andreas Hotho. 251-266 [doi]
- Discovering Opinion Spammer Groups by Network FootprintsJunting Ye, Leman Akoglu. 267-282 [doi]
- Gamma Process Poisson Factorization for Joint Modeling of Network and DocumentsAyan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh. 283-299 [doi]
- Generalization in Unsupervised LearningKarim T. Abou-Moustafa, Dale Schuurmans. 300-317 [doi]
- 2, 1 RegularizationWeixiang Shao, LiFang He, Philip S. Yu. 318-334 [doi]
- Solving a Hard Cutting Stock Problem by Machine Learning and OptimisationSteven David Prestwich, Adejuyigbe O. Fajemisin, Laura Climent, Barry O'Sullivan. 335-347 [doi]
- Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised DataKonstantinos Sechidis, Gavin Brown. 351-366 [doi]
- Multi-view Semantic Learning for Data RepresentationPeng Luo, Jinye Peng, Ziyu Guan, Jianping Fan. 367-382 [doi]
- Unsupervised Feature Analysis with Class Margin OptimizationSen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng. 383-398 [doi]
- Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data StreamsSebastian Wagner, Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou. 401-416 [doi]
- Drift Detection Using Stream VolatilityDavid Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet. 417-432 [doi]
- Early Classification of Time Series as a Non Myopic Sequential Decision Making ProblemAsma Dachraoui, Alexis Bondu, Antoine Cornuéjols. 433-447 [doi]
- Ising Bandits with Side InformationShaona Ghosh, Adam Prügel-Bennett. 448-463 [doi]
- Refined Algorithms for Infinitely Many-Armed Bandits with Deterministic RewardsYahel David, Nahum Shimkin. 464-479 [doi]
- An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity PatternsDaniel Jiwoong Im, Ethan Buchman, Graham W. Taylor. 483-497 [doi]
- Difference Target PropagationDong-hyun Lee, Saizheng Zhang, Asja Fischer, Yoshua Bengio. 498-515 [doi]
- Online Learning of Deep Hybrid Architectures for Semi-supervised CategorizationAlexander G. Ororbia II, David Reitter, Jian Wu, C. Lee Giles. 516-532 [doi]
- Scoring and Classifying with Gated Auto-EncodersDaniel Jiwoong Im, Graham W. Taylor. 533-545 [doi]
- Sign Constrained Rectifier Networks with Applications to Pattern DecompositionsSenjian An, Qiuhong Ke, Mohammed Bennamoun, Farid Boussaïd, Ferdous Ahmed Sohel. 546-559 [doi]
- Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning MarketsAmos J. Storkey, Zhanxing Zhu, Jinli Hu. 560-574 [doi]
- Higher Order Fused Regularization for Supervised Learning with Grouped ParametersTakeuchi Koh, Yoshinobu Kawahara, Tomoharu Iwata. 577-593 [doi]
- Joint Semi-supervised Similarity Learning for Linear ClassificationMaria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban. 594-609 [doi]
- Learning Compact and Effective Distance Metrics with Diversity RegularizationPengtao Xie. 610-624 [doi]
- Scalable Metric Learning for Co-EmbeddingFarzaneh Mirzazadeh, Martha White, András György, Dale Schuurmans. 625-642 [doi]
- Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point ProblemsZhanxing Zhu, Amos J. Storkey. 645-658 [doi]
- Hash Function Learning via CodewordsYinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos. 659-674 [doi]
- HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive LearningAnveshi Charuvaka, Huzefa Rangwala. 675-690 [doi]
- Large Scale Optimization with Proximal Stochastic Newton-Type Gradient DescentZiqiang Shi, Rujie Liu. 691-704 [doi]