18. ECML 2007:
Warsaw,
Poland
Joost N. Kok, Jacek Koronacki, Ramon López de Mántaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron (Eds.):
Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings.
Lecture Notes in Computer Science 4701 Springer 2007, ISBN 978-3-540-74957-8 BibTeX
Invited Talks (shared with PKDD 2007
Long Papers
- David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu:
Statistical Debugging Using Latent Topic Models.
6-17
Electronic Edition (link) BibTeX
- Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini:
Learning Balls of Strings with Correction Queries.
18-29
Electronic Edition (link) BibTeX
- Paul N. Bennett:
Neighborhood-Based Local Sensitivity.
30-41
Electronic Edition (link) BibTeX
- Steffen Börm, Jochen Garcke:
Approximating Gaussian Processes with H2-Matrices.
42-53
Electronic Edition (link) BibTeX
- Laurent Boyer, Amaury Habrard, Marc Sebban:
Learning Metrics Between Tree Structured Data: Application to Image Recognition.
54-66
Electronic Edition (link) BibTeX
- John Burge, Terran Lane:
Shrinkage Estimator for Bayesian Network Parameters.
67-78
Electronic Edition (link) BibTeX
- Xiongcai Cai, Arcot Sowmya:
Level Learning Set: A Novel Classifier Based on Active Contour Models.
79-90
Electronic Edition (link) BibTeX
- Jérôme Callut, Pierre Dupont:
Learning Partially Observable Markov Models from First Passage Times.
91-103
Electronic Edition (link) BibTeX
- Michael Connor, Dan Roth:
Context Sensitive Paraphrasing with a Global Unsupervised Classifier.
104-115
Electronic Edition (link) BibTeX
- Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett:
Dual Strategy Active Learning.
116-127
Electronic Edition (link) BibTeX
- Kenneth Dwyer, Robert Holte:
Decision Tree Instability and Active Learning.
128-139
Electronic Edition (link) BibTeX
- Derek Greene, Padraig Cunningham:
Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering.
140-151
Electronic Edition (link) BibTeX
- Thomas Gärtner, Gemma C. Garriga:
The Cost of Learning Directed Cuts.
152-163
Electronic Edition (link) BibTeX
- Tony Jebara, Yingbo Song, Kapil Thadani:
Spectral Clustering and Embedding with Hidden Markov Models.
164-175
Electronic Edition (link) BibTeX
- Angelika Kimmig, Luc De Raedt, Hannu Toivonen:
Probabilistic Explanation Based Learning.
176-187
Electronic Edition (link) BibTeX
- Gregory Kuhlmann, Peter Stone:
Graph-Based Domain Mapping for Transfer Learning in General Games.
188-200
Electronic Edition (link) BibTeX
- Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Classify Documents with Only a Small Positive Training Set.
201-213
Electronic Edition (link) BibTeX
- Xiao-Lin Li, Zhi-Hua Zhou:
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data.
214-225
Electronic Edition (link) BibTeX
- Dimitrios Mavroeidis, Michalis Vazirgiannis:
Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA.
226-237
Electronic Edition (link) BibTeX
- Andreas Nägele, Mathäus Dejori, Martin Stetter:
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures.
238-249
Electronic Edition (link) BibTeX
- Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass:
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs.
250-261
Electronic Edition (link) BibTeX
- Sunho Park, Seungjin Choi:
Source Separation with Gaussian Process Models.
262-273
Electronic Edition (link) BibTeX
- Elisa Ricci, Tijl De Bie, Nello Cristianini:
Discriminative Sequence Labeling by Z-Score Optimization.
274-285
Electronic Edition (link) BibTeX
- Mark Schmidt, Glenn Fung, Rómer Rosales:
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches.
286-297
Electronic Edition (link) BibTeX
- Matthias Seeger, Sebastian Gerwinn, Matthias Bethge:
Bayesian Inference for Sparse Generalized Linear Models.
298-309
Electronic Edition (link) BibTeX
- David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana:
Classifier Loss Under Metric Uncertainty.
310-322
Electronic Edition (link) BibTeX
- Daria Sorokina, Rich Caruana, Mirek Riedewald:
Additive Groves of Regression Trees.
323-334
Electronic Edition (link) BibTeX
- Alessandro Sperduti:
Efficient Computation of Recursive Principal Component Analysis for Structured Input.
335-346
Electronic Edition (link) BibTeX
- Harald Steck:
Hinge Rank Loss and the Area Under the ROC Curve.
347-358
Electronic Edition (link) BibTeX
- Jan Struyf, Saso Dzeroski:
Clustering Trees with Instance Level Constraints.
359-370
Electronic Edition (link) BibTeX
- Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier:
On Pairwise Naive Bayes Classifiers.
371-381
Electronic Edition (link) BibTeX
- Rikiya Takahashi:
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models.
382-393
Electronic Edition (link) BibTeX
- Stephan Timmer, Martin Riedmiller:
Safe Q-Learning on Complete History Spaces.
394-405
Electronic Edition (link) BibTeX
- Grigorios Tsoumakas, Ioannis P. Vlahavas:
Random k -Labelsets: An Ensemble Method for Multilabel Classification.
406-417
Electronic Edition (link) BibTeX
- Anneleen Van Assche, Hendrik Blockeel:
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble.
418-429
Electronic Edition (link) BibTeX
- Alexander Vezhnevets, Olga Barinova:
Avoiding Boosting Overfitting by Removing Confusing Samples.
430-441
Electronic Edition (link) BibTeX
- Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman:
Planning and Learning in Environments with Delayed Feedback.
442-453
Electronic Edition (link) BibTeX
- Wei Wang, Zhi-Hua Zhou:
Analyzing Co-training Style Algorithms.
454-465
Electronic Edition (link) BibTeX
- Daan Wierstra, Jürgen Schmidhuber:
Policy Gradient Critics.
466-477
Electronic Edition (link) BibTeX
- Shaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez:
An Improved Model Selection Heuristic for AUC.
478-489
Electronic Edition (link) BibTeX
- Fei Zheng, Geoffrey I. Webb:
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators.
490-501
Electronic Edition (link) BibTeX
Short Papers
- Annalisa Appice, Saso Dzeroski:
Stepwise Induction of Multi-target Model Trees.
502-509
Electronic Edition (link) BibTeX
- Paulo J. Azevedo, Alípio Mário Jorge:
Comparing Rule Measures for Predictive Association Rules.
510-517
Electronic Edition (link) BibTeX
- Korinna Bade, Marcel Hermkes, Andreas Nürnberger:
User Oriented Hierarchical Information Organization and Retrieval.
518-526
Electronic Edition (link) BibTeX
- Sabri Bayoudh, Harold Mouchère, Laurent Miclet, Éric Anquetil:
Learning a Classifier with Very Few Examples: Analogy Based and Knowledge Based Generation of New Examples for Character Recognition.
527-534
Electronic Edition (link) BibTeX
- Steven Busuttil, Yuri Kalnishkan:
Weighted Kernel Regression for Predicting Changing Dependencies.
535-542
Electronic Edition (link) BibTeX
- András Bánhalmi, András Kocsor, Róbert Busa-Fekete:
Counter-Example Generation-Based One-Class Classification.
543-550
Electronic Edition (link) BibTeX
- Mumin Cebe, Cigdem Gunduz Demir:
Test-Cost Sensitive Classification Based on Conditioned Loss Functions.
551-558
Electronic Edition (link) BibTeX
- Xiangyu Duan, Jun Zhao, Bo Xu:
Probabilistic Models for Action-Based Chinese Dependency Parsing.
559-566
Electronic Edition (link) BibTeX
- Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel:
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search.
567-574
Electronic Edition (link) BibTeX
- Peter A. Flach, Edson Takashi Matsubara:
A Simple Lexicographic Ranker and Probability Estimator.
575-582
Electronic Edition (link) BibTeX
- Eyke Hüllermeier, Johannes Fürnkranz:
On Minimizing the Position Error in Label Ranking.
583-590
Electronic Edition (link) BibTeX
- Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls:
On Phase Transitions in Learning Sparse Networks.
591-599
Electronic Edition (link) BibTeX
- Rong Jin, Ming Wu, Rahul Sukthankar:
Semi-supervised Collaborative Text Classification.
600-607
Electronic Edition (link) BibTeX
- Samuel Kaski, Jaakko Peltonen:
Learning from Relevant Tasks Only.
608-615
Electronic Edition (link) BibTeX
- Alexandre Klementiev, Dan Roth, Kevin Small:
An Unsupervised Learning Algorithm for Rank Aggregation.
616-623
Electronic Edition (link) BibTeX
- Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski:
Ensembles of Multi-Objective Decision Trees.
624-631
Electronic Edition (link) BibTeX
- Tilman Lange, Joachim M. Buhmann:
Kernel-Based Grouping of Histogram Data.
632-639
Electronic Edition (link) BibTeX
- R. Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl:
Active Class Selection.
640-647
Electronic Edition (link) BibTeX
- Francis Maes, Ludovic Denoyer, Patrick Gallinari:
Sequence Labeling with Reinforcement Learning and Ranking Algorithms.
648-657
Electronic Edition (link) BibTeX
- Sang-Hyeun Park, Johannes Fürnkranz:
Efficient Pairwise Classification.
658-665
Electronic Edition (link) BibTeX
- Jin Hyeong Park, Chandan K. Reddy:
Scale-Space Based Weak Regressors for Boosting.
666-673
Electronic Edition (link) BibTeX
- Dan Pelleg, Dorit Baras:
K -Means with Large and Noisy Constraint Sets.
674-682
Electronic Edition (link) BibTeX
- Katharina Probst, Rayid Ghani:
Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction.
683-690
Electronic Edition (link) BibTeX
- Tapani Raiko, Alexander Ilin, Juha Karhunen:
Principal Component Analysis for Large Scale Problems with Lots of Missing Values.
691-698
Electronic Edition (link) BibTeX
- Jan Ramon, Kurt Driessens, Tom Croonenborghs:
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling.
699-707
Electronic Edition (link) BibTeX
- Umaa Rebbapragada, Carla E. Brodley:
Class Noise Mitigation Through Instance Weighting.
708-715
Electronic Edition (link) BibTeX
- Ulrich Rückert, Stefan Kramer:
Optimizing Feature Sets for Structured Data.
716-723
Electronic Edition (link) BibTeX
- Victor S. Sheng, Charles X. Ling:
Roulette Sampling for Cost-Sensitive Learning.
724-731
Electronic Edition (link) BibTeX
- Tomás Singliar, Milos Hauskrecht:
Modeling Highway Traffic Volumes.
732-739
Electronic Edition (link) BibTeX
- Zoltán Szabó, Barnabás Póczos, András Lörincz:
Undercomplete Blind Subspace Deconvolution Via Linear Prediction.
740-747
Electronic Edition (link) BibTeX
- Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal:
Learning an Outlier-Robust Kalman Filter.
748-756
Electronic Edition (link) BibTeX
- Deepak Verma, Rajesh P. N. Rao:
Imitation Learning Using Graphical Models.
757-764
Electronic Edition (link) BibTeX
- Marcin Wojnarski:
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks.
765-772
Electronic Edition (link) BibTeX
- Liang Xiong, Fei Wang, Changshui Zhang:
Semi-definite Manifold Alignment.
773-781
Electronic Edition (link) BibTeX
- Qubo You, Nanning Zheng, Shaoyi Du, Yang Wu:
General Solution for Supervised Graph Embedding.
782-789
Electronic Edition (link) BibTeX
- Amelia Zafra, Sebastián Ventura:
Multi-objective Genetic Programming for Multiple Instance Learning.
790-797
Electronic Edition (link) BibTeX
- Monika Záková, Filip Zelezný:
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning.
798-805
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:08:13 2009
by Michael Ley (ley@uni-trier.de)
