Abstract is missing.
- Mining Billion-Node Graphs: Patterns, Generators and ToolsChristos Faloutsos. 1 [doi]
- Intelligent Interaction with the Real WorldLeslie Pack Kaelbling. 3 [doi]
- Mining Experimental Data for Dynamical Invariants - From Cognitive Robotics to Computational BiologyHod Lipson. 4 [doi]
- Hierarchical Learning Machines and Neuroscience of Visual CortexTomaso Poggio. 5 [doi]
- Formal Theory of Fun and CreativityJürgen Schmidhuber. 6 [doi]
- Porting Decision Tree Algorithms to Multicore Using FastFlowMarco Aldinucci, Salvatore Ruggieri, Massimo Torquati. 7-23 [doi]
- On Classifying Drifting Concepts in P2P NetworksHock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi. 24-39 [doi]
- A Unified Approach to Active Dual Supervision for Labeling Features and ExamplesJosh Attenberg, Prem Melville, Foster J. Provost. 40-55 [doi]
- Vector Field Learning via Spectral FilteringLuca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri. 56-71 [doi]
- Weighted Symbols-Based Edit Distance for String-Structured Image ClassificationCécile Barat, Christophe Ducottet, Élisa Fromont, Anne-Claire Legrand, Marc Sebban. 72-86 [doi]
- A Concise Representation of Association Rules Using Minimal Predictive RulesIyad Batal, Milos Hauskrecht. 87-102 [doi]
- Euclidean Distances, Soft and Spectral Clustering on Weighted GraphsFrançois Bavaud. 103-118 [doi]
- Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian NetworksEva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane. 119-134 [doi]
- Leveraging Bagging for Evolving Data StreamsAlbert Bifet, Geoffrey Holmes, Bernhard Pfahringer. 135-150 [doi]
- ITCH: Information-Theoretic Cluster HierarchiesChristian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther, Peter Wackersreuther. 151-167 [doi]
- Coniunge et Impera: Multiple-Graph Mining for Query-Log AnalysisIlaria Bordino, Debora Donato, Ricardo A. Baeza-Yates. 168-183 [doi]
- Process Mining Meets Abstract InterpretationJosep Carmona, Jordi Cortadella. 184-199 [doi]
- Smarter Sampling in Model-Based Bayesian Reinforcement LearningPablo Samuel Castro, Doina Precup. 200-214 [doi]
- Predicting Partial Orders: Ranking with AbstentionWeiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier. 215-230 [doi]
- Predictive Distribution Matching SVM for Multi-domain LearningChun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Kee Khoon Lee. 231-247 [doi]
- Kantorovich Distances between Rankings with Applications to Rank AggregationStéphan Clémençon, Jérémie Jakubowicz. 248-263 [doi]
- Characteristic Kernels on Structured Domains Excel in Robotics and Human Action RecognitionSomayeh Danafar, Arthur Gretton, Jürgen Schmidhuber. 264-279 [doi]
- Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One LossKrzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier. 280-295 [doi]
- Clustering Vessel Trajectories with Alignment Kernels under Trajectory CompressionGerben de Vries, Maarten van Someren. 296-311 [doi]
- Adaptive Bases for Reinforcement LearningDotan Di Castro, Shie Mannor. 312-327 [doi]
- Constructing Nonlinear Discriminants from Multiple Data ViewsTom Diethe, David R. Hardoon, John Shawe-Taylor. 328-343 [doi]
- Learning Algorithms for Link Prediction Based on Chance ConstraintsJanardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor. 344-360 [doi]
- Sparse Unsupervised Dimensionality Reduction AlgorithmsWenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang. 361-376 [doi]
- Asking Generalized Queries to Ambiguous OracleJun Du, Charles X. Ling. 377-392 [doi]
- Analysis of Large Multi-modal Social Networks: Patterns and a GeneratorNan Du, Hao Wang, Christos Faloutsos. 393-408 [doi]
- A Cluster-Level Semi-supervision Model for Interactive ClusteringAvinava Dubey, Indrajit Bhattacharya, Shantanu Godbole. 409-424 [doi]
- Software-Defect Localisation by Mining Dataflow-Enabled Call GraphsFrank Eichinger, Klaus Krogmann, Roland Klug, Klemens Böhm. 425-441 [doi]
- Induction of Concepts in Web Ontologies through Terminological Decision TreesNicola Fanizzi, Claudia d Amato, Floriana Esposito. 442-457 [doi]
- Classification with Sums of Separable FunctionsJochen Garcke. 458-473 [doi]
- Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual InformationHirotaka Hachiya, Masashi Sugiyama. 474-489 [doi]
- Bagging for Biclustering: Application to Microarray DataBlaise Hanczar, Mohamed Nadif. 490-505 [doi]
- Hub Gene Selection Methods for the Reconstruction of Transcription NetworksJosé Miguel Hernández-Lobato, Tjeerd Dijkstra. 506-521 [doi]
- Expectation Propagation for Bayesian Multi-task Feature SelectionDaniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont. 522-537 [doi]
- Graphical Multi-way ModelsIlkka Huopaniemi, Tommi Suvitaival, Matej Oresic, Samuel Kaski. 538-553 [doi]
- Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image RetrievalZakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor. 554-569 [doi]
- Graph Regularized Transductive Classification on Heterogeneous Information NetworksMing Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao. 570-586 [doi]
- Temporal Maximum Margin Markov NetworkXiaoqian Jiang, Bing Dong, Latanya Sweeney. 587-600 [doi]
- Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like ExplorationTobias Jung, Peter Stone. 601-616 [doi]