Abstract is missing.
- Exceptional Model MiningDennis Leman, Ad Feelders, Arno J. Knobbe. 1-16 [doi]
- A Joint Topic and Perspective Model for Ideological DiscourseWei-Hao Lin, Eric P. Xing, Alexander G. Hauptmann. 17-32 [doi]
- Effective Pruning Techniques for Mining Quasi-CliquesGuimei Liu, Limsoon Wong. 33-49 [doi]
- Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal DomainEneldo Loza Mencía, Johannes Fürnkranz. 50-65 [doi]
- Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPsFrancisco S. Melo, Manuel Lopes. 66-81 [doi]
- A New Natural Policy Gradient by Stationary Distribution MetricTetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya. 82-97 [doi]
- Towards Machine Learning of Grammars and Compilers of Programming LanguagesKeita Imada, Katsuhiko Nakamura. 98-112 [doi]
- Improving Classification with Pairwise Constraints: A Margin-Based ApproachNam Nguyen, Rich Caruana. 113-124 [doi]
- Metric Learning: A Support Vector ApproachNam Nguyen, Yunsong Guo. 125-136 [doi]
- Support Vector Machines, Data Reduction, and Approximate Kernel MatricesXuanLong Nguyen, Ling Huang, Anthony D. Joseph. 137-153 [doi]
- Mixed Bregman Clustering with Approximation GuaranteesRichard Nock, Panu Luosto, Jyrki Kivinen. 154-169 [doi]
- Hierarchical, Parameter-Free Community DiscoverySpiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu. 170-187 [doi]
- A Genetic Algorithm for Text Classification Rule InductionAdriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu. 188-203 [doi]
- Nonstationary Gaussian Process Regression Using Point Estimates of Local SmoothnessChristian Plagemann, Kristian Kersting, Wolfram Burgard. 204-219 [doi]
- Kernel-Based Inductive TransferUlrich Rückert, Stefan Kramer. 220-233 [doi]
- State-Dependent Exploration for Policy Gradient MethodsThomas Rückstieß, Martin Felder, Jürgen Schmidhuber. 234-249 [doi]
- Client-Friendly Classification over Random Hyperplane HashesShyamsundar Rajaram, Martin Scholz. 250-265 [doi]
- Large-Scale Clustering through Functional EmbeddingFrédéric Ratle, Jason Weston, Matthew L. Miller. 266-281 [doi]
- Clustering Distributed Sensor Data StreamsPedro Pereira Rodrigues, João Gama, Luís M. B. Lopes. 282-297 [doi]
- A Novel Scalable and Data Efficient Feature Subset Selection AlgorithmSergio Rodrigues de Morais, Alex Aussem. 298-312 [doi]
- Robust Feature Selection Using Ensemble Feature Selection TechniquesYvan Saeys, Thomas Abeel, Yves Van de Peer. 313-325 [doi]
- Effective Visualization of Information Diffusion Process over Complex NetworksKazumi Saito, Masahiro Kimura, Hiroshi Motoda. 326-341 [doi]
- Actively Transfer Domain KnowledgeXiaoxiao Shi, Wei Fan, Jiangtao Ren. 342-357 [doi]
- A Unified View of Matrix Factorization ModelsAjit Paul Singh, Geoffrey J. Gordon. 358-373 [doi]
- Parallel Spectral ClusteringYangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang. 374-389 [doi]
- Classification of Multi-labeled Data: A Generative ApproachAndreas P. Streich, Joachim M. Buhmann. 390-405 [doi]
- Pool-Based Agnostic Experiment Design in Linear RegressionMasashi Sugiyama, Shinichi Nakajima. 406-422 [doi]
- Distribution-Free Learning of Bayesian Network StructureXiaohai Sun. 423-439 [doi]
- Assessing Nonlinear Granger Causality from Multivariate Time SeriesXiaohai Sun. 440-455 [doi]
- Clustering Via Local RegressionJun Sun, Zhiyong Shen, Hui Li, Yi-Dong Shen. 456-471 [doi]
- Decomposable Families of ItemsetsNikolaj Tatti, Hannes Heikinheimo. 472-487 [doi]
- Transferring Instances for Model-Based Reinforcement LearningMatthew E. Taylor, Nicholas K. Jong, Peter Stone. 488-505 [doi]
- A Simple Model for Sequences of Relational State DescriptionsIngo Thon, Niels Landwehr, Luc De Raedt. 506-521 [doi]
- Semi-Supervised Boosting for Multi-Class ClassificationHamed Valizadegan, Rong Jin, Anil K. Jain. 522-537 [doi]
- A Joint Segmenting and Labeling Approach for Chinese Lexical AnalysisXinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu. 538-549 [doi]
- Transferred Dimensionality ReductionZheng Wang, Yangqiu Song, Changshui Zhang. 550-565 [doi]
- Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density ModelXiaoxia Wang, Peter Tiño, Mark A. Fardal. 566-581 [doi]
- Estimating Sales Opportunity Using Similarity-Based MethodsSholom M. Weiss, Nitin Indurkhya. 582-596 [doi]
- Learning MDP Action Models Via Discrete Mixture TreesMichael Wynkoop, Thomas G. Dietterich. 597-612 [doi]
- Continuous Time Bayesian Networks for Host Level Network Intrusion DetectionJing Xu, Christian R. Shelton. 613-627 [doi]
- Data Streaming with Affinity PropagationXiangliang Zhang, Cyril Furtlehner, Michèle Sebag. 628-643 [doi]
- Semi-supervised Discriminant Analysis Via CCCPYu Zhang, Dit-Yan Yeung. 644-659 [doi]
- A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple DomainsRocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter Tischer. 660-665 [doi]
- Pleiades: Subspace Clustering and EvaluationIra Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl. 666-671 [doi]
- SEDiL: Software for Edit Distance LearningLaurent Boyer 0002, Yann Esposito, Amaury Habrard, José Oncina, Marc Sebban. 672-677 [doi]
- Monitoring Patterns through an Integrated Management and Mining ToolEvangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis. 678-683 [doi]
- A Knowledge-Based Digital Dashboard for Higher Learning InstitutionsWan Maseri Binti Wan Mohd, Abdullah Embong, Jasni Mohd Zain. 684-689 [doi]
- SINDBAD and SiQL: An Inductive Database and Query Language in the Relational ModelJörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer. 690-694 [doi]