Search results for "ECML"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu 0001	Statistical Debugging Using Latent Topic Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier	On Pairwise Naive Bayes Classifiers.	ECML	2007	DBLP DOI BibTeX RDF
1	Alexandre Klementiev, Dan Roth, Kevin Small	An Unsupervised Learning Algorithm for Rank Aggregation.	ECML	2007	DBLP DOI BibTeX RDF
1	Anneleen Van Assche, Hendrik Blockeel	Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble.	ECML	2007	DBLP DOI BibTeX RDF	decision trees, ensembles, comprehensibility
1	Xiaoli Li 0001, Bing Liu 0001, See-Kiong Ng	Learning to Classify Documents with Only a Small Positive Training Set.	ECML	2007	DBLP DOI BibTeX RDF
1	Ulrich Rückert 0002, Stefan Kramer 0001	Optimizing Feature Sets for Structured Data.	ECML	2007	DBLP DOI BibTeX RDF
1	Xiongcai Cai, Arcot Sowmya	Level Learning Set: A Novel Classifier Based on Active Contour Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett	Dual Strategy Active Learning.	ECML	2007	DBLP DOI BibTeX RDF
1	Katharina Probst, Rayid Ghani	Towards 'Interactive' Active Learning in Multi-view Feature Sets for Information Extraction.	ECML	2007	DBLP DOI BibTeX RDF
1	Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls	On Phase Transitions in Learning Sparse Networks.	ECML	2007	DBLP DOI BibTeX RDF	sparse network reconstruction, machine learning, feature identification
1	Mark Schmidt 0001, Glenn Fung, Rómer Rosales	Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches.	ECML	2007	DBLP DOI BibTeX RDF
1	Wei Wang 0028, Zhi-Hua Zhou	Analyzing Co-training Style Algorithms.	ECML	2007	DBLP DOI BibTeX RDF
1	Kenneth Dwyer, Robert Holte	Decision Tree Instability and Active Learning.	ECML	2007	DBLP DOI BibTeX RDF	evaluation of learning methods, active learning, ensemble methods, Decision tree learning
1	Zoltán Szabó 0001, Barnabás Póczos, András Lörincz	Undercomplete Blind Subspace Deconvolution Via Linear Prediction.	ECML	2007	DBLP DOI BibTeX RDF
1	Gerhard Neumann, Michael Pfeiffer 0001, Wolfgang Maass 0001	Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs.	ECML	2007	DBLP DOI BibTeX RDF
1	Jan Ramon, Kurt Driessens, Tom Croonenborghs	Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling.	ECML	2007	DBLP DOI BibTeX RDF
1	Fei Zheng 0001, Geoffrey I. Webb	Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators.	ECML	2007	DBLP DOI BibTeX RDF
1	David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana	Classifier Loss Under Metric Uncertainty.	ECML	2007	DBLP DOI BibTeX RDF	cross-metric, evaluation, calibration, performance metric
1	Rachel Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl	Active Class Selection.	ECML	2007	DBLP DOI BibTeX RDF
1	Sang-Hyeun Park, Johannes Fürnkranz	Efficient Pairwise Classification.	ECML	2007	DBLP DOI BibTeX RDF
1	Umaa Rebbapragada, Carla E. Brodley	Class Noise Mitigation Through Instance Weighting.	ECML	2007	DBLP DOI BibTeX RDF
1	Elisa Ricci 0001, Tijl De Bie, Nello Cristianini	Discriminative Sequence Labeling by Z-Score Optimization.	ECML	2007	DBLP DOI BibTeX RDF
1	Laurent Boyer 0002, Amaury Habrard, Marc Sebban	Learning Metrics Between Tree Structured Data: Application to Image Recognition.	ECML	2007	DBLP DOI BibTeX RDF
1	Jin Hyeong Park, Chandan K. Reddy	Scale-Space Based Weak Regressors for Boosting.	ECML	2007	DBLP DOI BibTeX RDF
1	Joost N. Kok, Jacek Koronacki, Ramón 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	ECML	2007	DBLP DOI BibTeX RDF
1	Jan Struyf, Saso Dzeroski	Clustering Trees with Instance Level Constraints.	ECML	2007	DBLP DOI BibTeX RDF
1	John Burge, Terran Lane	Shrinkage Estimator for Bayesian Network Parameters.	ECML	2007	DBLP DOI BibTeX RDF	Bayesian networks, parameter estimation, hierarchy, shrinkage
1	Alexander Vezhnevets, Olga Barinova	Avoiding Boosting Overfitting by Removing Confusing Samples.	ECML	2007	DBLP DOI BibTeX RDF
1	Thomas J. Walsh 0001, Ali Nouri, Lihong Li 0001, Michael L. Littman	Planning and Learning in Environments with Delayed Feedback.	ECML	2007	DBLP DOI BibTeX RDF
1	Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal	Learning an Outlier-Robust Kalman Filter.	ECML	2007	DBLP DOI BibTeX RDF
1	Derek Greene, Padraig Cunningham	Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering.	ECML	2007	DBLP DOI BibTeX RDF
1	Xiangyu Duan, Jun Zhao 0001, Bo Xu 0002	Probabilistic Models for Action-Based Chinese Dependency Parsing.	ECML	2007	DBLP DOI BibTeX RDF	action-based, Chinese dependency parsing, probabilistic
1	Steffen Börm, Jochen Garcke	Approximating Gaussian Processes with H2-Matrices.	ECML	2007	DBLP DOI BibTeX RDF
1	Dimitrios Mavroeidis, Michalis Vazirgiannis	Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA.	ECML	2007	DBLP DOI BibTeX RDF
1	Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski	Ensembles of Multi-Objective Decision Trees.	ECML	2007	DBLP DOI BibTeX RDF
1	Korinna Bade, Marcel Hermkes, Andreas Nürnberger	User Oriented Hierarchical Information Organization and Retrieval.	ECML	2007	DBLP DOI BibTeX RDF
1	Paul N. Bennett	Neighborhood-Based Local Sensitivity.	ECML	2007	DBLP DOI BibTeX RDF
1	Gregory Kuhlmann, Peter Stone	Graph-Based Domain Mapping for Transfer Learning in General Games.	ECML	2007	DBLP DOI BibTeX RDF
1	Dan Pelleg, Dorit Baras	K -Means with Large and Noisy Constraint Sets.	ECML	2007	DBLP DOI BibTeX RDF
1	Andreas Nägele, Mathäus Dejori, Martin Stetter	Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures.	ECML	2007	DBLP DOI BibTeX RDF	Bayesian Networks, Graphical Models, Structure Learning
1	Shaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez	An Improved Model Selection Heuristic for AUC.	ECML	2007	DBLP DOI BibTeX RDF
1	Alessandro Sperduti	Efficient Computation of Recursive Principal Component Analysis for Structured Input.	ECML	2007	DBLP DOI BibTeX RDF
1	Tapani Raiko, Alexander Ilin, Juha Karhunen	Principal Component Analysis for Large Scale Problems with Lots of Missing Values.	ECML	2007	DBLP DOI BibTeX RDF
1	András Bánhalmi, András Kocsor, Róbert Busa-Fekete	Counter-Example Generation-Based One-Class Classification.	ECML	2007	DBLP DOI BibTeX RDF
1	Eyke Hüllermeier, Johannes Fürnkranz	On Minimizing the Position Error in Label Ranking.	ECML	2007	DBLP DOI BibTeX RDF
1	Victor S. Sheng, Charles X. Ling	Roulette Sampling for Cost-Sensitive Learning.	ECML	2007	DBLP DOI BibTeX RDF	data mining, machine learning, classification, decision trees, cost-sensitive learning, meta-learning
1	Monika Záková, Filip Zelezný	Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning.	ECML	2007	DBLP DOI BibTeX RDF
1	Angelika Kimmig, Luc De Raedt, Hannu Toivonen	Probabilistic Explanation Based Learning.	ECML	2007	DBLP DOI BibTeX RDF
1	Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel	Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search.	ECML	2007	DBLP DOI BibTeX RDF	probabilistic logical models, probability trees, Bayesian networks, inductive logic programming, structure learning, statistical relational learning
1	Tomás Singliar, Milos Hauskrecht	Modeling Highway Traffic Volumes.	ECML	2007	DBLP DOI BibTeX RDF
1	Jérôme Callut, Pierre Dupont	Learning Partially Observable Markov Models from First Passage Times.	ECML	2007	DBLP DOI BibTeX RDF
1	Liang Xiong, Fei Wang 0001, Changshui Zhang	Semi-definite Manifold Alignment.	ECML	2007	DBLP DOI BibTeX RDF
1	Stephan Timmer, Martin A. Riedmiller	Safe Q-Learning on Complete History Spaces.	ECML	2007	DBLP DOI BibTeX RDF
1	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.	ECML	2007	DBLP DOI BibTeX RDF	instance generation, sequence generation by analogy, knowledge-based generation, handwritten character recognition
1	Annalisa Appice, Saso Dzeroski	Stepwise Induction of Multi-target Model Trees.	ECML	2007	DBLP DOI BibTeX RDF
1	Steven Busuttil, Yuri Kalnishkan	Weighted Kernel Regression for Predicting Changing Dependencies.	ECML	2007	DBLP DOI BibTeX RDF
1	Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini	Learning Balls of Strings with Correction Queries.	ECML	2007	DBLP DOI BibTeX RDF	Oracle Learning, Balls of Strings, Edit Distance, Grammatical Inference, Correction Queries
1	Thomas Gärtner 0001, Gemma C. Garriga	The Cost of Learning Directed Cuts.	ECML	2007	DBLP DOI BibTeX RDF
1	Qubo You, Nanning Zheng 0001, Shaoyi Du, Yang Wu 0001	General Solution for Supervised Graph Embedding.	ECML	2007	DBLP DOI BibTeX RDF
1	Daria Sorokina, Rich Caruana, Mirek Riedewald	Additive Groves of Regression Trees.	ECML	2007	DBLP DOI BibTeX RDF
1	Deepak Verma, Rajesh P. N. Rao	Imitation Learning Using Graphical Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Marcin Wojnarski	Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks.	ECML	2007	DBLP DOI BibTeX RDF	Overtraining, Generalization, Regularization, Overfitting
1	Sunho Park, Seungjin Choi	Source Separation with Gaussian Process Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Paulo J. Azevedo, Alípio Mário Jorge	Comparing Rule Measures for Predictive Association Rules.	ECML	2007	DBLP DOI BibTeX RDF
1	Peter A. Flach, Edson Takashi Matsubara	A Simple Lexicographic Ranker and Probability Estimator.	ECML	2007	DBLP DOI BibTeX RDF
1	Matthias W. Seeger, Sebastian Gerwinn, Matthias Bethge	Bayesian Inference for Sparse Generalized Linear Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Tony Jebara, Yingbo Song, Kapil Thadani	Spectral Clustering and Embedding with Hidden Markov Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Samuel Kaski, Jaakko Peltonen	Learning from Relevant Tasks Only.	ECML	2007	DBLP DOI BibTeX RDF	relevant subtask learning, multi-task learning
1	Rikiya Takahashi	Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Francis Maes, Ludovic Denoyer, Patrick Gallinari	Sequence Labeling with Reinforcement Learning and Ranking Algorithms.	ECML	2007	DBLP DOI BibTeX RDF
1	Rong Jin 0001, Ming Wu, Rahul Sukthankar	Semi-supervised Collaborative Text Classification.	ECML	2007	DBLP DOI BibTeX RDF
1	Tilman Lange, Joachim M. Buhmann	Kernel-Based Grouping of Histogram Data.	ECML	2007	DBLP DOI BibTeX RDF
1	Amelia Zafra, Sebastián Ventura	Multi-objective Genetic Programming for Multiple Instance Learning.	ECML	2007	DBLP DOI BibTeX RDF
1	Daan Wierstra, Jürgen Schmidhuber	Policy Gradient Critics.	ECML	2007	DBLP DOI BibTeX RDF
1	Grigorios Tsoumakas, Ioannis P. Vlahavas	Random k -Labelsets: An Ensemble Method for Multilabel Classification.	ECML	2007	DBLP DOI BibTeX RDF
1	Michael Connor, Dan Roth	Context Sensitive Paraphrasing with a Global Unsupervised Classifier.	ECML	2007	DBLP DOI BibTeX RDF
1	Xiao-Lin Li 0001, Zhi-Hua Zhou	Structure Learning of Probabilistic Relational Models from Incomplete Relational Data.	ECML	2007	DBLP DOI BibTeX RDF
1	Harald Steck	Hinge Rank Loss and the Area Under the ROC Curve.	ECML	2007	DBLP DOI BibTeX RDF
1	Mumin Cebe, Cigdem Gunduz Demir	Test-Cost Sensitive Classification Based on Conditioned Loss Functions.	ECML	2007	DBLP DOI BibTeX RDF
1	Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen	Efficient Non-linear Control Through Neuroevolution.	ECML	2006	DBLP DOI BibTeX RDF
1	Klaus Brinker, Eyke Hüllermeier	Case-Based Label Ranking.	ECML	2006	DBLP DOI BibTeX RDF
1	Alessandro Moschitti	Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees.	ECML	2006	DBLP DOI BibTeX RDF
1	Uwe Dick, Kristian Kersting	Fisher Kernels for Relational Data.	ECML	2006	DBLP DOI BibTeX RDF
1	Guido Sanguinetti, Neil D. Lawrence	Missing Data in Kernel PCA.	ECML	2006	DBLP DOI BibTeX RDF
1	Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jennifer G. Dy, R. Bharat Rao	Batch Classification with Applications in Computer Aided Diagnosis.	ECML	2006	DBLP DOI BibTeX RDF
1	Bo Chen, Bin Gao 0001, Tie-Yan Liu, Yu-Fu Chen, Wei-Ying Ma	Fast Spectral Clustering of Data Using Sequential Matrix Compression.	ECML	2006	DBLP DOI BibTeX RDF
1	Xiao-Bing Xue, Zhi-Hua Zhou	Distributional Features for Text Categorization.	ECML	2006	DBLP DOI BibTeX RDF
1	Marc Bernard, Amaury Habrard, Marc Sebban	Learning Stochastic Tree Edit Distance.	ECML	2006	DBLP DOI BibTeX RDF	Stochastic tree edit distance, EM algorithm, generative models, discriminative models
1	Manfred Jaeger	On Testing the Missing at Random Assumption.	ECML	2006	DBLP DOI BibTeX RDF
1	Anneleen Van Assche, Hendrik Blockeel	Bagging Using Statistical Queries.	ECML	2006	DBLP DOI BibTeX RDF
1	Scott Proper, Prasad Tadepalli	Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery.	ECML	2006	DBLP DOI BibTeX RDF
1	Petroula Tsampouka, John Shawe-Taylor	Constant Rate Approximate Maximum Margin Algorithms.	ECML	2006	DBLP DOI BibTeX RDF
1	Dong Wang 0022, Jianmin Li 0001, Bo Zhang 0010	Multiple-Instance Learning Via Random Walk.	ECML	2006	DBLP DOI BibTeX RDF
1	Michael Wurst, Katharina Morik, Ingo Mierswa	Localized Alternative Cluster Ensembles for Collaborative Structuring.	ECML	2006	DBLP DOI BibTeX RDF
1	Bin Wang, Harry Zhang	Improving the Ranking Performance of Decision Trees.	ECML	2006	DBLP DOI BibTeX RDF	Class Probability, WPE, Decision Tree, Ranking, Shrinkage, AUC
1	Ata Kabán, Xin Wang 0006	Deconvolutive Clustering of Markov States.	ECML	2006	DBLP DOI BibTeX RDF
1	Samuel Wieczorek, Gilles Bisson, Mirta B. Gordon	Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test.	ECML	2006	DBLP DOI BibTeX RDF	similarity index, ?-subsumption, partial subsumption, CSP, Inductive Logic Programming, phase transition
1	Roberto Santana 0001, Pedro Larrañaga, José Antonio Lozano 0001	Mixtures of Kikuchi Approximations.	ECML	2006	DBLP DOI BibTeX RDF	Mixture of distributions, Kikuchi approximations, estimation of distribution algorithms, EM
1	Alon Altman, Avivit Bercovici-Boden, Moshe Tennenholtz	Learning in One-Shot Strategic Form Games.	ECML	2006	DBLP DOI BibTeX RDF
1	Bojun Yan, Carlotta Domeniconi	An Adaptive Kernel Method for Semi-supervised Clustering.	ECML	2006	DBLP DOI BibTeX RDF

Publications at "ECML"( http://dblp.L3S.de/Venues/ECML )