ECML

Keyphrases

Publications

2007

David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana
Classifier Loss Under Metric Uncertainty. ECML (2007)
Mark Schmidt, Glenn Fung, Rómer Rosales
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. ECML (2007)
Ulrich Rückert, Stefan Kramer
Optimizing Feature Sets for Structured Data. ECML (2007)
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls
On Phase Transitions in Learning Sparse Networks. ECML (2007)
Jan Struyf, Saso Dzeroski
Clustering Trees with Instance Level Constraints. ECML (2007)
Anneleen Van Assche, Hendrik Blockeel
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble. ECML (2007)
Paul N. Bennett
Neighborhood-Based Local Sensitivity. ECML (2007)
Rachel Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl
Active Class Selection. ECML (2007)
Derek Greene, Padraig Cunningham
Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering. ECML (2007)
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs. ECML (2007)
András Bánhalmi, András Kocsor, Róbert Busa-Fekete
Counter-Example Generation-Based One-Class Classification. ECML (2007)
Katharina Probst, Rayid Ghani
Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction. ECML (2007)
Jan Ramon, Kurt Driessens, Tom Croonenborghs
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML (2007)
Tapani Raiko, Alexander Ilin, Juha Karhunen
Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML (2007)
Alexandre Klementiev, Dan Roth, Kevin Small
An Unsupervised Learning Algorithm for Rank Aggregation. ECML (2007)
Gregory Kuhlmann, Peter Stone
Graph-Based Domain Mapping for Transfer Learning in General Games. ECML (2007)
Xiaoli Li, Bing Liu, See-Kiong Ng
Learning to Classify Documents with Only a Small Positive Training Set. ECML (2007)
Andreas Nägele, Mathäus Dejori, Martin Stetter
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. ECML (2007)
Zoltán Szabó, Barnabás Póczos, András Lörincz
Undercomplete Blind Subspace Deconvolution Via Linear Prediction. ECML (2007)
Steffen Börm, Jochen Garcke
-Matrices. ECML (2007)
Kenneth Dwyer, Robert Holte
Decision Tree Instability and Active Learning. ECML (2007)
Dimitrios Mavroeidis, Michalis Vazirgiannis
Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA. ECML (2007)
Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman
Planning and Learning in Environments with Delayed Feedback. ECML (2007)
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu
Statistical Debugging Using Latent Topic Models. ECML (2007)
Alexander Vezhnevets, Olga Barinova
Avoiding Boosting Overfitting by Removing Confusing Samples. ECML (2007)
Jin Hyeong Park, Chandan K. Reddy
Scale-Space Based Weak Regressors for Boosting. ECML (2007)
Eyke Hüllermeier, Johannes Fürnkranz
On Minimizing the Position Error in Label Ranking. ECML (2007)
Victor S. Sheng, Charles X. Ling
Roulette Sampling for Cost-Sensitive Learning. ECML (2007)
Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier
On Pairwise Naive Bayes Classifiers. ECML (2007)
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez
An Improved Model Selection Heuristic for AUC. ECML (2007)
Alessandro Sperduti
Efficient Computation of Recursive Principal Component Analysis for Structured Input. ECML (2007)
Laurent Boyer, Amaury Habrard, Marc Sebban
Learning Metrics Between Tree Structured Data: Application to Image Recognition. ECML (2007)
Monika Záková, Filip Zelezný
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. ECML (2007)
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
Dual Strategy Active Learning. ECML (2007)
Umaa Rebbapragada, Carla E. Brodley
Class Noise Mitigation Through Instance Weighting. ECML (2007)
Elisa Ricci, Tijl De Bie, Nello Cristianini
Discriminative Sequence Labeling by Z-Score Optimization. ECML (2007)
Dan Pelleg, Dorit Baras
-Means with Large and Noisy Constraint Sets. ECML (2007)
John Burge, Terran Lane
Shrinkage Estimator for Bayesian Network Parameters. ECML (2007)
Korinna Bade, Marcel Hermkes, Andreas Nürnberger
User Oriented Hierarchical Information Organization and Retrieval. ECML (2007)
Fei Zheng, Geoffrey I. Webb
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. ECML (2007)
Angelika Kimmig, Luc De Raedt, Hannu Toivonen
Probabilistic Explanation Based Learning. ECML (2007)
Xiongcai Cai, Arcot Sowmya
Level Learning Set: A Novel Classifier Based on Active Contour Models. ECML (2007)
Xiangyu Duan, Jun Zhao, Bo Xu
Probabilistic Models for Action-Based Chinese Dependency Parsing. ECML (2007)
Tomás Singliar, Milos Hauskrecht
Modeling Highway Traffic Volumes. ECML (2007)
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. ECML (2007)
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
Ensembles of Multi-Objective Decision Trees. ECML (2007)
Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal
Learning an Outlier-Robust Kalman Filter. ECML (2007)
Sang-Hyeun Park, Johannes Fürnkranz
Efficient Pairwise Classification. ECML (2007)
Wei Wang, Zhi-Hua Zhou
Analyzing Co-training Style Algorithms. ECML (2007)

volume 4701, 2007

Machine Learning: ECML 2007, 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings ECML 4701 (2007)