16. ECML 2005:
Porto,
Portugal
João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo (Eds.):
Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings.
Lecture Notes in Computer Science 3720 Springer 2005, ISBN 3-540-29243-8 BibTeX
Invited Talks
(shared with PKDD 2005)
Long Papers
- Liviu Badea:
Clustering and Metaclustering with Nonnegative Matrix Decompositions.
10-22
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- Christian Bessière, Remi Coletta, Frédéric Koriche, Barry O'Sullivan:
A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems.
23-34
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- Steffen Bickel, Tobias Scheffer:
Estimation of Mixture Models Using Co-EM.
35-46
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- Matthew Brand:
Nonrigid Embeddings for Dimensionality Reduction.
47-59
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- Ulf Brefeld, Christoph Büscher, Tobias Scheffer:
Multi-view Discriminative Sequential Learning.
60-71
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- Jesús Cerquides, Ramon López de Mántaras:
Robust Bayesian Linear Classifier Ensembles.
72-83
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- Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa:
An Integrated Approach to Learning Bayesian Networks of Rules.
84-95
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- Isabel Drost, Tobias Scheffer:
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam.
96-107
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- Arkady Epshteyn, Gerald DeJong:
Rotational Prior Knowledge for SVMs.
108-119
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- Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
On the LearnAbility of Abstraction Theories from Observations for Relational Learning.
120-132
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- George Forman, Ira Cohen:
Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers.
133-145
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- Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu:
Kernel Basis Pursuit.
146-157
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- Iris Hendrickx, Antal van den Bosch:
Hybrid Algorithms with Instance-Based Classification.
158-169
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- Aloak Kapoor, Russell Greiner:
Learning and Classifying Under Hard Budgets.
170-181
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- Wolf Kienzle, Bernhard Schölkopf:
Training Support Vector Machines with Multiple Equality Constraints.
182-193
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- Hans van Kuilenburg, Marco Wiering, Marten den Uyl:
A Model Based Method for Automatic Facial Expression Recognition.
194-205
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- François Laviolette, Mario Marchand, Mohak Shah:
Margin-Sparsity Trade-Off for the Set Covering Machine.
206-217
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- Xiaoli Li, Bing Liu:
Learning from Positive and Unlabeled Examples with Different Data Distributions.
218-229
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- Shiau Hong Lim, Gerald DeJong:
Towards Finite-Sample Convergence of Direct Reinforcement Learning.
230-241
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- Hsuan-Tien Lin, Ling Li:
Infinite Ensemble Learning with Support Vector Machines.
242-254
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- Siwei Lyu:
A Kernel Between Unordered Sets of Data: The Gaussian Mixture Approach.
255-267
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- Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney:
Active Learning for Probability Estimation Using Jensen-Shannon Divergence.
268-279
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- Jan Peters, Sethu Vijayakumar, Stefan Schaal:
Natural Actor-Critic.
280-291
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- Detlef Prescher:
Inducing Head-Driven PCFGs with Latent Heads: Refining a Tree-Bank Grammar for Parsing.
292-304
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- Stefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche:
Learning (k, l)-Contextual Tree Languages for Information Extraction.
305-316
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- Martin Riedmiller:
Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method.
317-328
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- Carsten Riggelsen:
MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition.
329-340
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- Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski:
On Discriminative Joint Density Modeling.
341-352
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- Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony:
Model-Based Online Learning of POMDPs.
353-364
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- Shengli Sheng, Charles X. Ling, Qiang Yang:
Simple Test Strategies for Cost-Sensitive Decision Trees.
365-376
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- JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani:
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models.
377-388
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- Daniel Szer, François Charpillet:
An Optimal Best-First Search Algorithm for Solving Infinite Horizon DEC-POMDPs.
389-399
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- Kari Torkkola, Eugene Tuv:
Ensemble Learning with Supervised Kernels.
400-411
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- Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin:
Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to Another.
412-424
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- Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, Véronique Masson, Chantal Gascuel:
A Distance-Based Approach for Action Recommendation.
425-436
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- Joannès Vermorel, Mehryar Mohri:
Multi-armed Bandit Algorithms and Empirical Evaluation.
437-448
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- Gang Wang, Zhihua Zhang, Frederick H. Lochovsky:
Annealed Discriminant Analysis.
449-460
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- Shijun Wang, Changshui Zhang:
Network Game and Boosting.
461-472
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- Olcay Taner Yildiz, Ethem Alpaydin:
Model Selection in Omnivariate Decision Trees.
473-484
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- Marie desJardins, Priyang Rathod, Lise Getoor:
Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence.
485-496
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Short Papers
- Steffen Bickel, Peter Haider, Tobias Scheffer:
Learning to Complete Sentences.
497-504
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- Antoine Bordes, Léon Bottou:
The Huller: A Simple and Efficient Online SVM.
505-512
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- Jérôme Callut, Pierre Dupont:
Inducing Hidden Markov Models to Model Long-Term Dependencies.
513-521
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- François Coste, Goulven Kerbellec:
A Similar Fragments Merging Approach to Learn Automata on Proteins.
522-529
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- Chris H. Q. Ding, Xiaofeng He, Horst D. Simon:
Nonnegative Lagrangian Relaxation of K-Means and Spectral Clustering.
530-538
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- Chris Drummond, Robert C. Holte:
Severe Class Imbalance: Why Better Algorithms Aren't the Answer.
539-546
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- Tapio Elomaa, Jussi Kujala, Juho Rousu:
Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes.
547-555
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- Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe:
A Comparison of Approaches for Learning Probability Trees.
556-563
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- George Forman:
Counting Positives Accurately Despite Inaccurate Classification.
564-575
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- Ramunas Girdziusas, Jorma Laaksonen:
Optimal Stopping and Constraints for Diffusion Models of Signals with Discontinuities.
576-583
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- Ali Hamzeh, Adel Rahmani:
An Evolutionary Function Approximation Approach to Compute Prediction in XCSF.
584-592
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- Masoumeh T. Izadi, Doina Precup:
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes.
593-600
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- Robin Jaulmes, Joelle Pineau, Doina Precup:
Active Learning in Partially Observable Markov Decision Processes.
601-608
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- Sergio Jiménez, Fernando Fernández, Daniel Borrajo:
Machine Learning of Plan Robustness Knowledge About Instances.
609-616
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- Arnaud Lallouet, Andrei Legtchenko:
Two Contributions of Constraint Programming to Machine Learning.
617-624
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- Tao Li, Wei Peng:
A Clustering Model Based on Matrix Approximation with Applications to Cluster System Log Files.
625-632
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- Fletcher Lu, J. Efrim Boritz:
Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford's Law Distributions.
633-640
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- Ingo Mierswa, Michael Wurst:
Efficient Case Based Feature Construction.
641-648
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- Richard Nock, Frank Nielsen:
Fitting the Smallest Enclosing Bregman Ball.
649-656
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- Daniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman:
Similarity-Based Alignment and Generalization.
657-664
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- Oleg Okun, Helen Priisalu, Alexessander Alves:
Fast Non-negative Dimensionality Reduction for Protein Fold Recognition.
665-672
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- Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa:
Mode Directed Path Finding.
673-681
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- Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi, Tu Bao Ho, Yasushi Inoguchi:
Classification with Maximum Entropy Modeling of Predictive Association Rules.
682-689
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- Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Classification of Ordinal Data Using Neural Networks.
690-697
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- Barnabás Póczos, Bálint Takács, András Lörincz:
Independent Subspace Analysis on Innovations.
698-706
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- Ricardo Rocha, Nuno A. Fonseca, Vítor Santos Costa:
On Applying Tabling to Inductive Logic Programming.
707-714
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- *** paper retracted by the authors *** [Learning Models of Relational Stochastic Processes].
715-723
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- Surendra K. Singhi, Huan Liu:
Error-Sensitive Grading for Model Combination.
724-732
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- Hendrik Skubch, Michael Thielscher:
Strategy Learning for Reasoning Agents.
733-740
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- Yuk Lai Suen, Prem Melville, Raymond J. Mooney:
Combining Bias and Variance Reduction Techniques for Regression Trees.
741-749
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- Petroula Tsampouka, John Shawe-Taylor:
Analysis of Generic Perceptron-Like Large Margin Classifiers.
750-758
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- Fang Wang, Yuhui Qiu:
Multimodal Function Optimizing by a New Hybrid Nonlinear Simplex Search and Particle Swarm Algorithm.
759-766
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Copyright © Sat May 16 23:08:13 2009
by Michael Ley (ley@uni-trier.de)