José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag (Eds.): Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I. Springer 2010 Lecture Notes in Computer Science ISBN 978-3-642-15879-7
Invited Talks (Abstracts)
- Christos Faloutsos: Mining Billion-Node Graphs: Patterns, Generators and Tools. 1
- Jiawei Han: Structure Is Informative: On Mining Structured Information Networks. 2
- Leslie Pack Kaelbling: Intelligent Interaction with the Real World. 3
- Hod Lipson: Mining Experimental Data for Dynamical Invariants - From Cognitive Robotics to Computational Biology. 4
- Tomaso Poggio: Hierarchical Learning Machines and Neuroscience of Visual Cortex. 5
- Jürgen Schmidhuber: Formal Theory of Fun and Creativity. 6
Regular Papers
- Marco Aldinucci, Salvatore Ruggieri, Massimo Torquati: Porting Decision Tree Algorithms to Multicore Using FastFlow. 7-23
- Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi: On Classifying Drifting Concepts in P2P Networks. 24-39
- Josh Attenberg, Prem Melville, Foster J. Provost: A Unified Approach to Active Dual Supervision for Labeling Features and Examples. 40-55
- Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri: Vector Field Learning via Spectral Filtering. 56-71
- Cécile Barat, Christophe Ducottet, Élisa Fromont, Anne-Claire Legrand, Marc Sebban: Weighted Symbols-Based Edit Distance for String-Structured Image Classification. 72-86
- Iyad Batal, Milos Hauskrecht: A Concise Representation of Association Rules Using Minimal Predictive Rules. 87-102
- François Bavaud: Euclidean Distances, Soft and Spectral Clustering on Weighted Graphs. 103-118
- Eva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane: Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks. 119-134
- Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer: Leveraging Bagging for Evolving Data Streams. 135-150
- Christian Böhm, Frank Fiedler, Annahita Oswald, Claudia Plant, Bianca Wackersreuther, Peter Wackersreuther: ITCH: Information-Theoretic Cluster Hierarchies. 151-167
- Ilaria Bordino, Debora Donato, Ricardo A. Baeza-Yates: Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis. 168-183
- Pablo Samuel Castro, Doina Precup: Smarter Sampling in Model-Based Bayesian Reinforcement Learning. 200-214
- Weiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier: Predicting Partial Orders: Ranking with Abstention. 215-230
- Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee: Predictive Distribution Matching SVM for Multi-domain Learning. 231-247
- Stéphan Clémençon, Jérémie Jakubowicz: Kantorovich Distances between Rankings with Applications to Rank Aggregation. 248-263
- Somayeh Danafar, Arthur Gretton, Jürgen Schmidhuber: Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition. 264-279
- Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier: Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. 280-295
- Gerben de Vries, Maarten van Someren: Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression. 296-311
- Tom Diethe, David R. Hardoon, John Shawe-Taylor: Constructing Nonlinear Discriminants from Multiple Data Views. 328-343
- Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lise Getoor: Learning Algorithms for Link Prediction Based on Chance Constraints. 344-360
- Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang: Sparse Unsupervised Dimensionality Reduction Algorithms. 361-376
- Nan Du, Hao Wang, Christos Faloutsos: Analysis of Large Multi-modal Social Networks: Patterns and a Generator. 393-408
- Avinava Dubey, Indrajit Bhattacharya, Shantanu Godbole: A Cluster-Level Semi-supervision Model for Interactive Clustering. 409-424
- Frank Eichinger, Klaus Krogmann, Roland Klug, Klemens Böhm: Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs. 425-441
- Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Induction of Concepts in Web Ontologies through Terminological Decision Trees. 442-457
- Jochen Garcke: Classification with Sums of Separable Functions. 458-473
- Hirotaka Hachiya, Masashi Sugiyama: Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information. 474-489
- José Miguel Hernández-Lobato, Tjeerd Dijkstra: Hub Gene Selection Methods for the Reconstruction of Transcription Networks. 506-521
- Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont: Expectation Propagation for Bayesian Multi-task Feature Selection. 522-537
- Zakria Hussain, Alex Po Leung, Kitsuchart Pasupa, David R. Hardoon, Peter Auer, John Shawe-Taylor: Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval. 554-569
- Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao: Graph Regularized Transductive Classification on Heterogeneous Information Networks. 570-586
- Tobias Jung, Peter Stone: Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration. 601-616
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last updated on 2013-06-19T201401 by the dblp team