Search results for "ECML"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
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	Mumin Cebe, Cigdem Gunduz Demir	Test-Cost Sensitive Classification Based on Conditioned Loss Functions.	ECML	2007	DBLP DOI BibTeX RDF
1	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	ECML	2007	DBLP BibTeX RDF
1	Amelia Zafra, Sebastián Ventura	Multi-objective Genetic Programming for Multiple Instance 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	Dan Pelleg, Dorit Baras	K -Means with Large and Noisy Constraint Sets.	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	Tilman Lange, Joachim M. Buhmann	Kernel-Based Grouping of Histogram Data.	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	Grigorios Tsoumakas, Ioannis P. Vlahavas	Random k -Labelsets: An Ensemble Method for Multilabel Classification.	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	Shaomin Wu, Peter A. Flach, Cèsar Ferri Ramirez	An Improved Model Selection Heuristic for AUC.	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	Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal	Learning an Outlier-Robust Kalman Filter.	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	Korinna Bade, Marcel Hermkes, Andreas Nürnberger	User Oriented Hierarchical Information Organization and Retrieval.	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	Alessandro Sperduti	Efficient Computation of Recursive Principal Component Analysis for Structured Input.	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	Fei Zheng, Geoffrey I. Webb	Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators.	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	Monika Záková, Filip Zelezný	Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning.	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	Mark W. Schmidt, Glenn Fung, Rómer Rosales	Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches.	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	Matthias Seeger, Sebastian Gerwinn, Matthias Bethge	Bayesian Inference for Sparse Generalized Linear Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Sang-Hyeun Park, Johannes Fürnkranz	Efficient Pairwise Classification.	ECML	2007	DBLP DOI BibTeX RDF
1	Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman	Planning and Learning in Environments with Delayed Feedback.	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	Eyke Hüllermeier, Johannes Fürnkranz	On Minimizing the Position Error in Label Ranking.	ECML	2007	DBLP DOI BibTeX RDF
1	Zoltán Szabó, Barnabás Póczos, András Lörincz	Undercomplete Blind Subspace Deconvolution Via Linear Prediction.	ECML	2007	DBLP DOI BibTeX RDF
1	Alexander Vezhnevets, Olga Barinova	Avoiding Boosting Overfitting by Removing Confusing Samples.	ECML	2007	DBLP DOI BibTeX RDF
1	Steffen Börm, Jochen Garcke	Approximating Gaussian Processes with H2-Matrices.	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	Tomás Singliar, Milos Hauskrecht	Modeling Highway Traffic Volumes.	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	Rikiya Takahashi	Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models.	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	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	Alexandre Klementiev, Dan Roth, Kevin Small	An Unsupervised Learning Algorithm for Rank Aggregation.	ECML	2007	DBLP DOI BibTeX RDF
1	Rong Jin, Ming Wu, Rahul Sukthankar	Semi-supervised Collaborative Text Classification.	ECML	2007	DBLP DOI BibTeX RDF
1	Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass	Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs.	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	Daria Sorokina, Rich Caruana, Mirek Riedewald	Additive Groves of Regression Trees.	ECML	2007	DBLP DOI BibTeX RDF
1	Thomas Gärtner, Gemma C. Garriga	The Cost of Learning Directed Cuts.	ECML	2007	DBLP DOI BibTeX RDF
1	Sunho Park, Seungjin Choi	Source Separation with Gaussian Process Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Xiangyu Duan, Jun Zhao, Bo Xu	Probabilistic Models for Action-Based Chinese Dependency Parsing.	ECML	2007	DBLP DOI BibTeX RDF	action-based, Chinese dependency parsing, probabilistic
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	Peter A. Flach, Edson Takashi Matsubara	A Simple Lexicographic Ranker and Probability Estimator.	ECML	2007	DBLP DOI BibTeX RDF
1	Jan Struyf, Saso Dzeroski	Clustering Trees with Instance Level Constraints.	ECML	2007	DBLP DOI BibTeX RDF
1	David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu	Statistical Debugging Using Latent Topic Models.	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	Xiongcai Cai, Arcot Sowmya	Level Learning Set: A Novel Classifier Based on Active Contour Models.	ECML	2007	DBLP DOI BibTeX RDF
1	Annalisa Appice, Saso Dzeroski	Stepwise Induction of Multi-target Model Trees.	ECML	2007	DBLP DOI BibTeX RDF
1	Stephan Timmer, Martin Riedmiller	Safe Q-Learning on Complete History Spaces.	ECML	2007	DBLP DOI BibTeX RDF
1	Daan Wierstra, Jürgen Schmidhuber	Policy Gradient Critics.	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	Steven Busuttil, Yuri Kalnishkan	Weighted Kernel Regression for Predicting Changing Dependencies.	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	Paulo J. Azevedo, Alípio Mário Jorge	Comparing Rule Measures for Predictive Association Rules.	ECML	2007	DBLP DOI BibTeX RDF
1	Ulrich Rückert 0002, Stefan Kramer	Optimizing Feature Sets for Structured Data.	ECML	2007	DBLP DOI BibTeX RDF
1	Rachel Lomasky, Carla E. Brodley, M. Aernecke, D. Walt, Mark A. Friedl	Active Class Selection.	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	Qubo You, Nanning Zheng, Shaoyi Du, Yang Wu	General Solution for Supervised Graph Embedding.	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	Xiaoli Li, Bing Liu 0001, See-Kiong Ng	Learning to Classify Documents with Only a Small Positive Training Set.	ECML	2007	DBLP DOI BibTeX RDF
1	Paul N. Bennett	Neighborhood-Based Local Sensitivity.	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	Francis Maes, Ludovic Denoyer, Patrick Gallinari	Sequence Labeling with Reinforcement Learning and Ranking Algorithms.	ECML	2007	DBLP DOI BibTeX RDF
1	Elisa Ricci, Tijl De Bie, Nello Cristianini	Discriminative Sequence Labeling by Z-Score Optimization.	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	Gregory Kuhlmann, Peter Stone	Graph-Based Domain Mapping for Transfer Learning in General Games.	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	Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski	Ensembles of Multi-Objective Decision Trees.	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	John Burge, Terran Lane	Shrinkage Estimator for Bayesian Network Parameters.	ECML	2007	DBLP DOI BibTeX RDF	Bayesian networks, parameter estimation, hierarchy, shrinkage
1	Umaa Rebbapragada, Carla E. Brodley	Class Noise Mitigation Through Instance Weighting.	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	Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel	Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.	ECML	2006	DBLP DOI BibTeX RDF
1	Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl	Active Learning with Irrelevant Examples.	ECML	2006	DBLP DOI BibTeX RDF
1	Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mohamed N. Bennani	Improvement of Systems Management Policies Using Hybrid Reinforcement Learning.	ECML	2006	DBLP DOI BibTeX RDF
1	Jun Xu, Yunbo Cao, Hang Li, Yalou Huang	Cost-Sensitive Learning of SVM for Ranking.	ECML	2006	DBLP DOI BibTeX RDF
1	Uwe Dick, Kristian Kersting	Fisher Kernels for Relational Data.	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	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.	ECML	2006	DBLP DOI BibTeX RDF
1	Guido Sanguinetti, Neil D. Lawrence	Missing Data in Kernel PCA.	ECML	2006	DBLP DOI BibTeX RDF
1	Tobias Pfingsten	Bayesian Active Learning for Sensitivity Analysis.	ECML	2006	DBLP DOI BibTeX RDF
1	Sébastien Jodogne, Cyril Briquet, Justus H. Piater	Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks.	ECML	2006	DBLP DOI BibTeX RDF
1	Aleks Jakulin, Irina Rish	Bayesian Learning of Markov Network Structure.	ECML	2006	DBLP DOI BibTeX RDF
1	William Elazmeh, Nathalie Japkowicz, Stan Matwin	Evaluating Misclassifications in Imbalanced Data.	ECML	2006	DBLP DOI BibTeX RDF
1	Will Bridewell, Pat Langley, Steve Racunas, Stuart R. Borrett	Learning Process Models with Missing Data.	ECML	2006	DBLP DOI BibTeX RDF
1	Jérôme Callut, Pierre Dupont	Sequence Discrimination Using Phase-Type Distributions.	ECML	2006	DBLP DOI BibTeX RDF	Supervised sequence classification, Markov chains, Expectation-Maximization, First passage times, Jensen-Shannon divergence
1	Sébastien Jodogne, Justus H. Piater	Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions.	ECML	2006	DBLP DOI BibTeX RDF
1	Martin Scholz	Boosting in PN Spaces.	ECML	2006	DBLP DOI BibTeX RDF
1	Ivor W. Tsang, András Kocsor, James T. Kwok	Diversified SVM Ensembles for Large Data Sets.	ECML	2006	DBLP DOI BibTeX RDF
1	Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun	Transductive Gaussian Process Regression with Automatic Model Selection.	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	Nathaniel J. King, Neil D. Lawrence	Fast Variational Inference for Gaussian Process Models Through KL-Correction.	ECML	2006	DBLP DOI BibTeX RDF
1	Alessandro Moschitti	Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees.	ECML	2006	DBLP DOI BibTeX RDF

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