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Conferences in DBLP
- David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu
Statistical Debugging Using Latent Topic Models. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:6-17 [Conf]
- Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini
Learning Balls of Strings with Correction Queries. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:18-29 [Conf]
- Paul N. Bennett
Neighborhood-Based Local Sensitivity. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:30-41 [Conf]
- Steffen Börm, Jochen Garcke
Approximating Gaussian Processes with H2-Matrices. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:42-53 [Conf]
- Laurent Boyer 0002, Amaury Habrard, Marc Sebban
Learning Metrics Between Tree Structured Data: Application to Image Recognition. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:54-66 [Conf]
- John Burge, Terran Lane
Shrinkage Estimator for Bayesian Network Parameters. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:67-78 [Conf]
- Xiongcai Cai, Arcot Sowmya
Level Learning Set: A Novel Classifier Based on Active Contour Models. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:79-90 [Conf]
- Jérôme Callut, Pierre Dupont
Learning Partially Observable Markov Models from First Passage Times. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:91-103 [Conf]
- Michael Connor, Dan Roth
Context Sensitive Paraphrasing with a Global Unsupervised Classifier. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:104-115 [Conf]
- Meryem Pinar Dönmez, Jaime G. Carbonell, Paul N. Bennett
Dual Strategy Active Learning. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:116-127 [Conf]
- Kenneth Dwyer, Robert Holte
Decision Tree Instability and Active Learning. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:128-139 [Conf]
- Derek Greene, Padraig Cunningham
Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:140-151 [Conf]
- Thomas Gärtner, Gemma C. Garriga
The Cost of Learning Directed Cuts. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:152-163 [Conf]
- Tony Jebara, Yingbo Song, Kapil Thadani
Spectral Clustering and Embedding with Hidden Markov Models. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:164-175 [Conf]
- Angelika Kimmig, Luc De Raedt, Hannu Toivonen
Probabilistic Explanation Based Learning. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:176-187 [Conf]
- Gregory Kuhlmann, Peter Stone
Graph-Based Domain Mapping for Transfer Learning in General Games. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:188-200 [Conf]
- Xiaoli Li, Bing Liu, See-Kiong Ng
Learning to Classify Documents with Only a Small Positive Training Set. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:201-213 [Conf]
- Xiao-Lin Li, Zhi-Hua Zhou
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:214-225 [Conf]
- Dimitrios Mavroeidis, Michalis Vazirgiannis
Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:226-237 [Conf]
- Andreas Nägele, Mathäus Dejori, Martin Stetter
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:238-249 [Conf]
- Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:250-261 [Conf]
- Sunho Park, Seungjin Choi
Source Separation with Gaussian Process Models. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:262-273 [Conf]
- Elisa Ricci, Tijl De Bie, Nello Cristianini
Discriminative Sequence Labeling by Z-Score Optimization. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:274-285 [Conf]
- Mark Schmidt, Glenn Fung, Rómer Rosales
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:286-297 [Conf]
- Matthias Seeger, Sebastian Gerwinn, Matthias Bethge
Bayesian Inference for Sparse Generalized Linear Models. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:298-309 [Conf]
- David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana
Classifier Loss Under Metric Uncertainty. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:310-322 [Conf]
- Daria Sorokina, Rich Caruana, Mirek Riedewald
Additive Groves of Regression Trees. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:323-334 [Conf]
- Alessandro Sperduti
Efficient Computation of Recursive Principal Component Analysis for Structured Input. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:335-346 [Conf]
- Harald Steck
Hinge Rank Loss and the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:347-358 [Conf]
- Jan Struyf, Saso Dzeroski
Clustering Trees with Instance Level Constraints. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:359-370 [Conf]
- Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier
On Pairwise Naive Bayes Classifiers. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:371-381 [Conf]
- Rikiya Takahashi
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:382-393 [Conf]
- Stephan Timmer, Martin Riedmiller
Safe Q-Learning on Complete History Spaces. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:394-405 [Conf]
- Grigorios Tsoumakas, Ioannis P. Vlahavas
Random k -Labelsets: An Ensemble Method for Multilabel Classification. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:406-417 [Conf]
- Anneleen Van Assche, Hendrik Blockeel
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:418-429 [Conf]
- Alexander Vezhnevets, Olga Barinova
Avoiding Boosting Overfitting by Removing Confusing Samples. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:430-441 [Conf]
- Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman
Planning and Learning in Environments with Delayed Feedback. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:442-453 [Conf]
- Wei Wang, Zhi-Hua Zhou
Analyzing Co-training Style Algorithms. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:454-465 [Conf]
- Daan Wierstra, Jürgen Schmidhuber
Policy Gradient Critics. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:466-477 [Conf]
- Shaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez
An Improved Model Selection Heuristic for AUC. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:478-489 [Conf]
- Fei Zheng, Geoffrey I. Webb
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:490-501 [Conf]
- Annalisa Appice, Saso Dzeroski
Stepwise Induction of Multi-target Model Trees. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:502-509 [Conf]
- Paulo J. Azevedo, Alípio Mário Jorge
Comparing Rule Measures for Predictive Association Rules. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:510-517 [Conf]
- Korinna Bade, Marcel Hermkes, Andreas Nürnberger
User Oriented Hierarchical Information Organization and Retrieval. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:518-526 [Conf]
- 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. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:527-534 [Conf]
- Steven Busuttil, Yuri Kalnishkan
Weighted Kernel Regression for Predicting Changing Dependencies. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:535-542 [Conf]
- András Bánhalmi, András Kocsor, Róbert Busa-Fekete
Counter-Example Generation-Based One-Class Classification. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:543-550 [Conf]
- Mumin Cebe, Cigdem Gunduz Demir
Test-Cost Sensitive Classification Based on Conditioned Loss Functions. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:551-558 [Conf]
- Xiangyu Duan, Jun Zhao, Bo Xu
Probabilistic Models for Action-Based Chinese Dependency Parsing. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:559-566 [Conf]
- Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:567-574 [Conf]
- Peter A. Flach, Edson Takashi Matsubara
A Simple Lexicographic Ranker and Probability Estimator. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:575-582 [Conf]
- Eyke Hüllermeier, Johannes Fürnkranz
On Minimizing the Position Error in Label Ranking. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:583-590 [Conf]
- Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls
On Phase Transitions in Learning Sparse Networks. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:591-599 [Conf]
- Rong Jin, Ming Wu, Rahul Sukthankar
Semi-supervised Collaborative Text Classification. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:600-607 [Conf]
- Samuel Kaski, Jaakko Peltonen
Learning from Relevant Tasks Only. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:608-615 [Conf]
- Alexandre Klementiev, Dan Roth, Kevin Small
An Unsupervised Learning Algorithm for Rank Aggregation. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:616-623 [Conf]
- Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
Ensembles of Multi-Objective Decision Trees. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:624-631 [Conf]
- Tilman Lange, Joachim M. Buhmann
Kernel-Based Grouping of Histogram Data. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:632-639 [Conf]
- R. Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl
Active Class Selection. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:640-647 [Conf]
- Francis Maes, Ludovic Denoyer, Patrick Gallinari
Sequence Labeling with Reinforcement Learning and Ranking Algorithms. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:648-657 [Conf]
- Sang-Hyeun Park, Johannes Fürnkranz
Efficient Pairwise Classification. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:658-665 [Conf]
- Jin Hyeong Park, Chandan K. Reddy
Scale-Space Based Weak Regressors for Boosting. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:666-673 [Conf]
- Dan Pelleg, Dorit Baras
K -Means with Large and Noisy Constraint Sets. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:674-682 [Conf]
- Katharina Probst, Rayid Ghani
Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:683-690 [Conf]
- Tapani Raiko, Alexander Ilin, Juha Karhunen
Principal Component Analysis for Large Scale Problems with Lots of Missing Values. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:691-698 [Conf]
- Jan Ramon, Kurt Driessens, Tom Croonenborghs
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:699-707 [Conf]
- Umaa Rebbapragada, Carla E. Brodley
Class Noise Mitigation Through Instance Weighting. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:708-715 [Conf]
- Ulrich Rückert, Stefan Kramer
Optimizing Feature Sets for Structured Data. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:716-723 [Conf]
- Victor S. Sheng, Charles X. Ling
Roulette Sampling for Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:724-731 [Conf]
- Tomás Singliar, Milos Hauskrecht
Modeling Highway Traffic Volumes. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:732-739 [Conf]
- Zoltán Szabó, Barnabás Póczos, András Lörincz
Undercomplete Blind Subspace Deconvolution Via Linear Prediction. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:740-747 [Conf]
- Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal
Learning an Outlier-Robust Kalman Filter. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:748-756 [Conf]
- Deepak Verma, Rajesh P. N. Rao
Imitation Learning Using Graphical Models. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:757-764 [Conf]
- Marcin Wojnarski
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:765-772 [Conf]
- Liang Xiong, Fei Wang, Changshui Zhang
Semi-definite Manifold Alignment. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:773-781 [Conf]
- Qubo You, Nanning Zheng, Shaoyi Du, Yang Wu
General Solution for Supervised Graph Embedding. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:782-789 [Conf]
- Amelia Zafra, Sebastián Ventura
Multi-objective Genetic Programming for Multiple Instance Learning. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:790-797 [Conf]
- Monika Záková, Filip Zelezný
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. [Citation Graph (0, 0)][DBLP] ECML, 2007, pp:798-805 [Conf]
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