Abstract is missing.
- Clustering and Metaclustering with Nonnegative Matrix DecompositionsLiviu Badea. 10-22 [doi]
- A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction ProblemsChristian Bessière, Remi Coletta, Frédéric Koriche, Barry O Sullivan. 23-34 [doi]
- Estimation of Mixture Models Using Co-EMSteffen Bickel, Tobias Scheffer. 35-46 [doi]
- Nonrigid Embeddings for Dimensionality ReductionMatthew Brand. 47-59 [doi]
- Multi-view Discriminative Sequential LearningUlf Brefeld, Christoph Büscher, Tobias Scheffer. 60-71 [doi]
- Robust Bayesian Linear Classifier EnsemblesJesús Cerquides, Ramon López de Mántaras. 72-83 [doi]
- An Integrated Approach to Learning Bayesian Networks of RulesJesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa. 84-95 [doi]
- Thwarting the Nigritude Ultramarine: Learning to Identify Link SpamIsabel Drost, Tobias Scheffer. 96-107 [doi]
- Rotational Prior Knowledge for SVMsArkady Epshteyn, Gerald DeJong. 108-119 [doi]
- On the LearnAbility of Abstraction Theories from Observations for Relational LearningStefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito. 120-132 [doi]
- Beware the Null Hypothesis: Critical Value Tables for Evaluating ClassifiersGeorge Forman, Ira Cohen. 133-145 [doi]
- Kernel Basis PursuitVincent Guigue, Alain Rakotomamonjy, Stéphane Canu. 146-157 [doi]
- Hybrid Algorithms with Instance-Based ClassificationIris Hendrickx, Antal van den Bosch. 158-169 [doi]
- Learning and Classifying Under Hard BudgetsAloak Kapoor, Russell Greiner. 170-181 [doi]
- Training Support Vector Machines with Multiple Equality ConstraintsWolf Kienzle, Bernhard Schölkopf. 182-193 [doi]
- A Model Based Method for Automatic Facial Expression RecognitionHans van Kuilenburg, Marco Wiering, Marten den Uyl. 194-205 [doi]
- Margin-Sparsity Trade-Off for the Set Covering MachineFrançois Laviolette, Mario Marchand, Mohak Shah. 206-217 [doi]
- Learning from Positive and Unlabeled Examples with Different Data DistributionsXiaoli Li, Bing Liu. 218-229 [doi]
- Towards Finite-Sample Convergence of Direct Reinforcement LearningShiau Hong Lim, Gerald DeJong. 230-241 [doi]
- Infinite Ensemble Learning with Support Vector MachinesHsuan-Tien Lin, Ling Li. 242-254 [doi]
- A Kernel Between Unordered Sets of Data: The Gaussian Mixture ApproachSiwei Lyu. 255-267 [doi]
- Active Learning for Probability Estimation Using Jensen-Shannon DivergencePrem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney. 268-279 [doi]
- Natural Actor-CriticJan Peters, Sethu Vijayakumar, Stefan Schaal. 280-291 [doi]
- Inducing Head-Driven PCFGs with Latent Heads: Refining a Tree-Bank Grammar for ParsingDetlef Prescher. 292-304 [doi]
- Learning (k, l)-Contextual Tree Languages for Information ExtractionStefan Raeymaekers, Maurice Bruynooghe, Jan Van den Bussche. 305-316 [doi]
- Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning MethodMartin Riedmiller. 317-328 [doi]
- MCMC Learning of Bayesian Network Models by Markov Blanket DecompositionCarsten Riggelsen. 329-340 [doi]
- On Discriminative Joint Density ModelingJarkko Salojärvi, Kai Puolamäki, Samuel Kaski. 341-352 [doi]
- Model-Based Online Learning of POMDPsGuy Shani, Ronen I. Brafman, Solomon Eyal Shimony. 353-364 [doi]
- Simple Test Strategies for Cost-Sensitive Decision TreesShengli Sheng, Charles X. Ling, Qiang Yang. 365-376 [doi]
- U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable ModelsJaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani. 377-388 [doi]
- An Optimal Best-First Search Algorithm for Solving Infinite Horizon DEC-POMDPsDaniel Szer, François Charpillet. 389-399 [doi]
- Ensemble Learning with Supervised KernelsKari Torkkola, Eugene Tuv. 400-411 [doi]
- Using Advice to Transfer Knowledge Acquired in One Reinforcement Learning Task to AnotherLisa Torrey, Trevor Walker, Jude W. Shavlik, Richard Maclin. 412-424 [doi]
- A Distance-Based Approach for Action RecommendationRonan Trepos, Ansaf Salleb, Marie-Odile Cordier, Véronique Masson, Chantal Gascuel. 425-436 [doi]
- Multi-armed Bandit Algorithms and Empirical EvaluationJoannès Vermorel, Mehryar Mohri. 437-448 [doi]
- Annealed Discriminant AnalysisGang Wang, Zhihua Zhang, Frederick H. Lochovsky. 449-460 [doi]
- Network Game and BoostingShijun Wang, Changshui Zhang. 461-472 [doi]
- Model Selection in Omnivariate Decision TreesOlcay Taner Yildiz, Ethem Alpaydin. 473-484 [doi]
- Bayesian Network Learning with Abstraction Hierarchies and Context-Specific IndependenceMarie desJardins, Priyang Rathod, Lise Getoor. 485-496 [doi]
- Learning to Complete SentencesSteffen Bickel, Peter Haider, Tobias Scheffer. 497-504 [doi]
- The Huller: A Simple and Efficient Online SVMAntoine Bordes, Léon Bottou. 505-512 [doi]
- Inducing Hidden Markov Models to Model Long-Term DependenciesJérôme Callut, Pierre Dupont. 513-521 [doi]
- A Similar Fragments Merging Approach to Learn Automata on ProteinsFrançois Coste, Goulven Kerbellec. 522-529 [doi]
- Nonnegative Lagrangian Relaxation of ::::K::::-Means and Spectral ClusteringChris H. Q. Ding, Xiaofeng He, Horst D. Simon. 530-538 [doi]
- Severe Class Imbalance: Why Better Algorithms Aren t the AnswerChris Drummond, Robert C. Holte. 539-546 [doi]
- Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel HyperplanesTapio Elomaa, Jussi Kujala, Juho Rousu. 547-555 [doi]
- A Comparison of Approaches for Learning Probability TreesDaan Fierens, Jan Ramon, Hendrik Blockeel, Maurice Bruynooghe. 556-563 [doi]
- Counting Positives Accurately Despite Inaccurate ClassificationGeorge Forman. 564-575 [doi]
- Optimal Stopping and Constraints for Diffusion Models of Signals with DiscontinuitiesRamunas Girdziusas, Jorma Laaksonen. 576-583 [doi]
- An Evolutionary Function Approximation Approach to Compute Prediction in XCSFAli Hamzeh, Adel Rahmani. 584-592 [doi]
- Using Rewards for Belief State Updates in Partially Observable Markov Decision ProcessesMasoumeh T. Izadi, Doina Precup. 593-600 [doi]
- Active Learning in Partially Observable Markov Decision ProcessesRobin Jaulmes, Joelle Pineau, Doina Precup. 601-608 [doi]
- Machine Learning of Plan Robustness Knowledge About InstancesSergio Jiménez, Fernando Fernández, Daniel Borrajo. 609-616 [doi]
- Two Contributions of Constraint Programming to Machine LearningArnaud Lallouet, Andrei Legtchenko. 617-624 [doi]
- A Clustering Model Based on Matrix Approximation with Applications to Cluster System Log FilesTao Li, Wei Peng. 625-632 [doi]
- Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford s Law DistributionsFletcher Lu, J. Efrim Boritz. 633-640 [doi]
- Efficient Case Based Feature ConstructionIngo Mierswa, Michael Wurst. 641-648 [doi]
- Fitting the Smallest Enclosing Bregman BallRichard Nock, Frank Nielsen. 649-656 [doi]
- Similarity-Based Alignment and GeneralizationDaniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman. 657-664 [doi]
- Fast Non-negative Dimensionality Reduction for Protein Fold RecognitionOleg Okun, Helen Priisalu, Alexessander Alves. 665-672 [doi]
- Mode Directed Path FindingIrene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa. 673-681 [doi]
- Classification with Maximum Entropy Modeling of Predictive Association RulesXuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi, Tu Bao Ho, Yasushi Inoguchi. 682-689 [doi]
- Classification of Ordinal Data Using Neural NetworksJoaquim F. Pinto da Costa, Jaime S. Cardoso. 690-697 [doi]
- Independent Subspace Analysis on InnovationsBarnabás Póczos, Bálint Takács, András Lörincz. 698-706 [doi]
- On Applying Tabling to Inductive Logic ProgrammingRicardo Rocha, Nuno A. Fonseca, Vítor Santos Costa. 707-714 [doi]
- *** paper retracted by the authors *** [Learning Models of Relational Stochastic Processes]715-723 [doi]
- Error-Sensitive Grading for Model CombinationSurendra K. Singhi, Huan Liu. 724-732 [doi]
- Strategy Learning for Reasoning AgentsHendrik Skubch, Michael Thielscher. 733-740 [doi]
- Combining Bias and Variance Reduction Techniques for Regression TreesYuk Lai Suen, Prem Melville, Raymond J. Mooney. 741-749 [doi]
- Analysis of Generic Perceptron-Like Large Margin ClassifiersPetroula Tsampouka, John Shawe-Taylor. 750-758 [doi]
- Multimodal Function Optimizing by a New Hybrid Nonlinear Simplex Search and Particle Swarm AlgorithmFang Wang, Yuhui Qiu. 759-766 [doi]