17. ECML 2006:
Berlin,
Germany
Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (Eds.):
Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings.
Lecture Notes in Computer Science 4212 Springer 2006, ISBN 3-540-45375-X BibTeX
Invited Talks
(shared with PKDD 2006)
Long Papers
- Alon Altman, Avivit Bercovici-Boden, Moshe Tennenholtz:
Learning in One-Shot Strategic Form Games.
6-17
Electronic Edition (link) BibTeX
- Massih-Reza Amini, Nicolas Usunier, François Laviolette, Alexandre Lacasse, Patrick Gallinari:
A Selective Sampling Strategy for Label Ranking.
18-29
Electronic Edition (link) BibTeX
- Ron Bekkerman, Mehran Sahami, Erik G. Learned-Miller:
Combinatorial Markov Random Fields.
30-41
Electronic Edition (link) BibTeX
- Marc Bernard, Amaury Habrard, Marc Sebban:
Learning Stochastic Tree Edit Distance.
42-53
Electronic Edition (link) BibTeX
- Christopher H. Bryant, Daniel Fredouille, Alex Wilson, Channa K. Jayawickreme, Steven Jupe, Simon Topp:
Pertinent Background Knowledge for Learning Protein Grammars.
54-65
Electronic Edition (link) BibTeX
- John Burge, Terran Lane:
Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies.
66-77
Electronic Edition (link) BibTeX
- Jérôme Callut, Pierre Dupont:
Sequence Discrimination Using Phase-Type Distributions.
78-89
Electronic Edition (link) BibTeX
- Alexander Clark, Christophe Costa Florêncio, Chris Watkins:
Languages as Hyperplanes: Grammatical Inference with String Kernels.
90-101
Electronic Edition (link) BibTeX
- Gerald DeJong:
Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning.
102-113
Electronic Edition (link) BibTeX
- Uwe Dick, Kristian Kersting:
Fisher Kernels for Relational Data.
114-125
Electronic Edition (link) BibTeX
- William Elazmeh, Nathalie Japkowicz, Stan Matwin:
Evaluating Misclassifications in Imbalanced Data.
126-137
Electronic Edition (link) BibTeX
- Raquel Fuentetaja, Daniel Borrajo:
Improving Control-Knowledge Acquisition for Planning by Active Learning.
138-149
Electronic Edition (link) BibTeX
- Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup:
PAC-Learning of Markov Models with Hidden State.
150-161
Electronic Edition (link) BibTeX
- David Grangier, Florent Monay, Samy Bengio:
A Discriminative Approach for the Retrieval of Images from Text Queries.
162-173
Electronic Edition (link) BibTeX
- Bernd Gutmann, Kristian Kersting:
TildeCRF: Conditional Random Fields for Logical Sequences.
174-185
Electronic Edition (link) BibTeX
- Corneliu Henegar, Karine Clément, Jean-Daniel Zucker:
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data.
186-197
Electronic Edition (link) BibTeX
- Aleks Jakulin, Irina Rish:
Bayesian Learning of Markov Network Structure.
198-209
Electronic Edition (link) BibTeX
- Sébastien Jodogne, Cyril Briquet, Justus H. Piater:
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks.
210-221
Electronic Edition (link) BibTeX
- Sébastien Jodogne, Justus H. Piater:
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions.
222-233
Electronic Edition (link) BibTeX
- Rasa Jurgelenaite, Tom Heskes:
EM Algorithm for Symmetric Causal Independence Models.
234-245
Electronic Edition (link) BibTeX
- Ata Kabán, Xin Wang:
Deconvolutive Clustering of Markov States.
246-257
Electronic Edition (link) BibTeX
- Min Sub Kim, William T. B. Uther:
Patching Approximate Solutions in Reinforcement Learning.
258-269
Electronic Edition (link) BibTeX
- Nathaniel J. King, Neil D. Lawrence:
Fast Variational Inference for Gaussian Process Models Through KL-Correction.
270-281
Electronic Edition (link) BibTeX
- Levente Kocsis, Csaba Szepesvári:
Bandit Based Monte-Carlo Planning.
282-293
Electronic Edition (link) BibTeX
- Jussi Kollin, Mikko Koivisto:
Bayesian Learning with Mixtures of Trees.
294-305
Electronic Edition (link) BibTeX
- Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun:
Transductive Gaussian Process Regression with Automatic Model Selection.
306-317
Electronic Edition (link) BibTeX
- Alessandro Moschitti:
Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees.
318-329
Electronic Edition (link) BibTeX
- Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko:
Why Is Rule Learning Optimistic and How to Correct It.
330-340
Electronic Edition (link) BibTeX
- Gisele L. Pappa, Alex Alves Freitas:
Automatically Evolving Rule Induction Algorithms.
341-352
Electronic Edition (link) BibTeX
- Tobias Pfingsten:
Bayesian Active Learning for Sensitivity Analysis.
353-364
Electronic Edition (link) BibTeX
- Roberto Santana, Pedro Larrañaga, José Antonio Lozano:
Mixtures of Kikuchi Approximations.
365-376
Electronic Edition (link) BibTeX
- Martin Scholz:
Boosting in PN Spaces.
377-388
Electronic Edition (link) BibTeX
- Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony:
Prioritizing Point-Based POMDP Solvers.
389-400
Electronic Edition (link) BibTeX
- Hyunjung Shin, N. Jeremy Hill, Gunnar Rätsch:
Graph Based Semi-supervised Learning with Sharper Edges.
401-412
Electronic Edition (link) BibTeX
- Dan Roth, Kevin Small:
Margin-Based Active Learning for Structured Output Spaces.
413-424
Electronic Edition (link) BibTeX
- Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richard Maclin:
Skill Acquisition Via Transfer Learning and Advice Taking.
425-436
Electronic Edition (link) BibTeX
- Petroula Tsampouka, John Shawe-Taylor:
Constant Rate Approximate Maximum Margin Algorithms.
437-448
Electronic Edition (link) BibTeX
- Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao:
Batch Classification with Applications in Computer Aided Diagnosis.
449-460
Electronic Edition (link) BibTeX
- Bin Wang, Harry Zhang:
Improving the Ranking Performance of Decision Trees.
461-472
Electronic Edition (link) BibTeX
- Dong Wang, Jianmin Li, Bo Zhang:
Multiple-Instance Learning Via Random Walk.
473-484
Electronic Edition (link) BibTeX
- Michael Wurst, Katharina Morik, Ingo Mierswa:
Localized Alternative Cluster Ensembles for Collaborative Structuring.
485-496
Electronic Edition (link) BibTeX
- Xiao-Bing Xue, Zhi-Hua Zhou:
Distributional Features for Text Categorization.
497-508
Electronic Edition (link) BibTeX
- Bojun Yan, Carlotta Domeniconi:
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data.
509-520
Electronic Edition (link) BibTeX
- Bojun Yan, Carlotta Domeniconi:
An Adaptive Kernel Method for Semi-supervised Clustering.
521-532
Electronic Edition (link) BibTeX
- Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting:
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.
533-544
Electronic Edition (link) BibTeX
- Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh:
Ensembles of Nearest Neighbor Forecasts.
545-556
Electronic Edition (link) BibTeX
Short Papers
- Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett:
Learning Process Models with Missing Data.
557-565
Electronic Edition (link) BibTeX
- Klaus Brinker, Eyke Hüllermeier:
Case-Based Label Ranking.
566-573
Electronic Edition (link) BibTeX
- Laurent Candillier, Isabelle Tellier, Fabien Torre, Olivier Bousquet:
Cascade Evaluation of Clustering Algorithms.
574-581
Electronic Edition (link) BibTeX
- Michael Carney, Padraig Cunningham:
Making Good Probability Estimates for Regression.
582-589
Electronic Edition (link) BibTeX
- Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Ying Ma:
Fast Spectral Clustering of Data Using Sequential Matrix Compression.
590-597
Electronic Edition (link) BibTeX
- Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects.
598-605
Electronic Edition (link) BibTeX
- Trevor Cohn:
Efficient Inference in Large Conditional Random Fields.
606-613
Electronic Edition (link) BibTeX
- Juan C. Cuevas-Tello, Peter Tiño, Somak Raychaudhury:
A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses.
614-621
Electronic Edition (link) BibTeX
- Jason V. Davis, Jungwoo Ha, Christopher J. Rossbach, Hany E. Ramadan, Emmett Witchel:
Cost-Sensitive Decision Tree Learning for Forensic Classification.
622-629
Electronic Edition (link) BibTeX
- Alexander N. Dolia, Tijl De Bie, Christopher J. Harris, John Shawe-Taylor, D. M. Titterington:
The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces.
630-637
Electronic Edition (link) BibTeX
- Byron J. Gao, Martin Ester:
Right of Inference: Nearest Rectangle Learning Revisited.
638-645
Electronic Edition (link) BibTeX
- Peter Geibel:
Reinforcement Learning for MDPs with Constraints.
646-653
Electronic Edition (link) BibTeX
- Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen:
Efficient Non-linear Control Through Neuroevolution.
654-662
Electronic Edition (link) BibTeX
- Derek Greene, Padraig Cunningham:
Efficient Prediction-Based Validation for Document Clustering.
663-670
Electronic Edition (link) BibTeX
- Manfred Jaeger:
On Testing the Missing at Random Assumption.
671-678
Electronic Edition (link) BibTeX
- Tony Jebara, Vlad Shchogolev:
B-Matching for Spectral Clustering.
679-686
Electronic Edition (link) BibTeX
- Christine Körner, Stefan Wrobel:
Multi-class Ensemble-Based Active Learning.
687-694
Electronic Edition (link) BibTeX
- Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl:
Active Learning with Irrelevant Examples.
695-702
Electronic Edition (link) BibTeX
- Georgi I. Nalbantov, Jan C. Bioch, Patrick J. F. Groenen:
Classification with Support Hyperplanes.
703-710
Electronic Edition (link) BibTeX
- Kee Siong Ng:
(Agnostic) PAC Learning Concepts in Higher-Order Logic.
711-718
Electronic Edition (link) BibTeX
- Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér:
Evaluating Feature Selection for SVMs in High Dimensions.
719-726
Electronic Edition (link) BibTeX
- Martin Nyffenegger, Jean-Cédric Chappelier, Éric Gaussier:
Revisiting Fisher Kernels for Document Similarities.
727-734
Electronic Edition (link) BibTeX
- Scott Proper, Prasad Tadepalli:
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery.
735-742
Electronic Edition (link) BibTeX
- Stefan Rüping:
Robust Probabilistic Calibration.
743-750
Electronic Edition (link) BibTeX
- Guido Sanguinetti, Neil D. Lawrence:
Missing Data in Kernel PCA.
751-758
Electronic Edition (link) BibTeX
- Péter Schönhofen, András A. Benczúr:
Exploiting Extremely Rare Features in Text Categorization.
759-766
Electronic Edition (link) BibTeX
- Suvrit Sra:
Efficient Large Scale Linear Programming Support Vector Machines.
767-774
Electronic Edition (link) BibTeX
- Jan Struyf, Jesse Davis, C. David Page Jr.:
An Efficient Approximation to Lookahead in Relational Learners.
775-782
Electronic Edition (link) BibTeX
- Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani:
Improvement of Systems Management Policies Using Hybrid Reinforcement Learning.
783-791
Electronic Edition (link) BibTeX
- Ivor W. Tsang, András Kocsor, James T. Kwok:
Diversified SVM Ensembles for Large Data Sets.
792-800
Electronic Edition (link) BibTeX
- Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham:
Dynamic Integration with Random Forests.
801-808
Electronic Edition (link) BibTeX
- Anneleen Van Assche, Hendrik Blockeel:
Bagging Using Statistical Queries.
809-816
Electronic Edition (link) BibTeX
- Samuel Wieczorek, Gilles Bisson, Mirta B. Gordon:
Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test.
817-824
Electronic Edition (link) BibTeX
- Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang:
Spline Embedding for Nonlinear Dimensionality Reduction.
825-832
Electronic Edition (link) BibTeX
- Jun Xu, Yunbo Cao, Hang Li, Yalou Huang:
Cost-Sensitive Learning of SVM for Ranking.
833-840
Electronic Edition (link) BibTeX
- Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.
841-848
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:08:13 2009
by Michael Ley (ley@uni-trier.de)
