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ORCID14th PKDD / 21st ECML 2010: Barcelona, Spain
- José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6322, Springer 2010, ISBN 978-3-642-15882-7
Regular Papers
- Gjergji Kasneci
, Jurgen Van Gael, Ralf Herbrich, Thore Graepel:
Bayesian Knowledge Corroboration with Logical Rules and User Feedback. 1-18 - Pooyan Khajehpour Tadavani, Ali Ghodsi:
Learning an Affine Transformation for Non-linear Dimensionality Reduction. 19-34 - Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, Tarek F. Abdelzaher:
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification. 35-50 - Minyoung Kim, Vladimir Pavlovic:
Hidden Conditional Ordinal Random Fields for Sequence Classification. 51-65 - Marius Kloft, Ulrich Rückert, Peter L. Bartlett:
A Unifying View of Multiple Kernel Learning. 66-81 - Tomas Klos, Gerrit Jan van Ahee, Karl Tuyls:
Evolutionary Dynamics of Regret Minimization. 82-96 - Elzbieta Kubera, Alicja Wieczorkowska, Zbigniew W. Ras, Magdalena Skrzypiec:
Recognition of Instrument Timbres in Real Polytimbral Audio Recordings. 97-110 - Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz:
Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks. 111-127 - Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning:
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. 128-144 - Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik:
Online Knowledge-Based Support Vector Machines. 145-161 - Alexandre Lacasse, François Laviolette, Mario Marchand, Francis Turgeon-Boutin:
Learning with Randomized Majority Votes. 162-177 - Tobias Lang, Marc Toussaint, Kristian Kersting:
Exploration in Relational Worlds. 178-194 - Theodoros Lappas, Dimitrios Gunopulos:
Efficient Confident Search in Large Review Corpora. 195-210 - Edith Law, Burr Settles, Tom M. Mitchell:
Learning to Tag from Open Vocabulary Labels. 211-226 - Yannick Le Bras, Patrick Meyer, Philippe Lenca, Stéphane Lallich:
A Robustness Measure of Association Rules. 227-242 - Geoffrey Levine, Gerald DeJong, Li-Lun Wang, Rajhans Samdani, Shankar Vembu, Dan Roth:
Automatic Model Adaptation for Complex Structured Domains. 243-258 - Marco Lippi, Matteo Bertini, Paolo Frasconi:
Collective Traffic Forecasting. 259-273 - Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou:
On Detecting Clustered Anomalies Using SCiForest. 274-290 - Marco Loog:
Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier. 291-304 - Odalric-Ambrym Maillard, Rémi Munos:
Online Learning in Adversarial Lipschitz Environments. 305-320 - Michael Mampaey, Jilles Vreeken:
Summarising Data by Clustering Items. 321-336 - Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. 337-352 - Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer:
Latent Structure Pattern Mining. 353-368 - Wannes Meert, Nima Taghipour, Hendrik Blockeel:
First-Order Bayes-Ball. 369-384 - Francisco S. Melo, Manuel Lopes:
Learning from Demonstration Using MDP Induced Metrics. 385-401 - Guilherme Vale Menezes, Jussara M. Almeida, Fabiano Belém, Marcos André Gonçalves, Anísio Lacerda, Edleno Silva de Moura, Gisele L. Pappa, Adriano Veloso, Nivio Ziviani:
Demand-Driven Tag Recommendation. 402-417 - Sofia Mosci, Lorenzo Rosasco, Matteo Santoro, Alessandro Verri, Silvia Villa:
Solving Structured Sparsity Regularization with Proximal Methods. 418-433 - Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik:
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. 434-450 - Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. 451-466 - Siegfried Nijssen, Tias Guns:
Integrating Constraint Programming and Itemset Mining. 467-482 - Maks Ovsjanikov, Ye Chen:
Topic Modeling for Personalized Recommendation of Volatile Items. 483-498 - Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets:
Conditional Ranking on Relational Data. 499-514
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