Abstract is missing.
- Learning in Agent-Oriented Worlds (Abstract)Kenneth DeJong. 3
- Naive (Bayes) at Forty: The Independence Assumption in Information RetrievalDavid D. Lewis. 4-15
- Learning Verbal Transitivity Using LogLinear ModelsNuno Miguel Marques, José Gabriel Pereira Lopes, Carlos Agra Coelho. 19-24
- Part-of-Speech Tagging Using Decision TreesLluís Màrquez, Horacio Rodríguez. 25-36
- Inference of Finite Automata: Reducing the Search Space with an Ordering of Pairs of StatesFrançois Coste, Jacques Nicolas. 37-42
- Automatic Acquisition of Lexical Knowledge from Sparse and Noisy DataRené Schneider. 43-48
- A Normalization Method for Contextual Data: Experience from a Large-Scale ApplicationSylvain Létourneau, Stan Matwin, Fazel Famili. 49-54
- Learning to Classify X-Ray Images Using Relational LearningClaude Sammut, Tatjana Zrimec. 55-60
- ILP Experiments in Detecting Traffic ProblemsSaso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure. 61-66
- Simulating Children Learning and Explaining Elementary Heat Transfer Phenomena: A Multistrategy System at WorkFilippo Neri. 67-76
- Bayes Optimal Instance-Based LearningPetri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri. 77-88
- Bayesian and Information-Theories Priors for Bayesian Network ParametersPetri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald. 89-94
- Feature Subset Selection in Text-LearningDunja Mladenic. 95-100
- A Monotonic Measure for Optimal Feature SelectionHuan Liu, Hiroshi Motoda, Manoranjan Dash. 101-106
- Inducing Models of human Control SkillsRui Camacho. 107-118
- God Doesn t Always Shave with Occam s Razor - Learning When and How to PruneHilan Bensusan. 119-124
- Error Estimators for Pruning Regression TreesLuís Torgo. 125-130
- Pruning Decision Trees with Misclassification CostsJeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley. 131-136
- Text Categorization with Suport Vector Machines: Learning with Many Relevant FeaturesThorsten Joachims. 137-142
- A Short Note About the Application of Polynomial Kernels with Fractional Degree in Support Vector LearningRolf Rossius, Gérard Zenker, Andreas Ittner, Werner Dilger. 143-148
- Classification Learning Using All RulesMurlikrishna Viswanathan, Geoffrey I. Webb. 149-159
- Improved Pairwise Coupling Classification with Correcting ClassifiersMiguel Moreira, Eddy Mayoraz. 160-171
- Experiments on Solving Multiclass Learning Problems by ::::n:::2:::::::-classifierJacek Jelonek, Jerzy Stefanowski. 172-177
- Combining Classifiers by Constructive InductionJoão Gama. 178-189
- Boosting Trees for Cost-Sensitive ClassificationsKai Ming Ting, Zijian Zheng. 190-195
- Naive Bayesian Classifier CommitteesZijian Zheng. 196-207
- Batch Classification with Discrete Finite MixturesPetri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri. 208-213
- Induction of Recursive Program SchemesUte Schmid, Fritz Wysotzki. 214-225
- Predicate Invention and Learning from Positive Examples OnlyHenrik Boström. 226-237
- An Inductive Logic Programming Framework to Learn a Concept from Ambiguous ExamplesDominique Bouthinon, Henry Soldano. 238-249
- First-Order Learning for Web MiningMark Craven, Seán Slattery, Kamal Nigam. 250-255
- Explanation-Based Generalization in Game Playing: Quantitative ResultsStefan Schrödl. 256-267
- Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based CharacterisationNicolas Lachiche, Pierre Marquis. 268-279
- Error-Correcting Output Codes for Local LearnersFrancesco Ricci, David W. Aha. 280-291
- Recursive Lazy Learning for Modeling and ControlGianluca Bontempi, Mauro Birattari, Hugues Bersini. 292-303
- Using Lattice-Based Framework as a Tool for Feature ExtractionEngelbert Mephu Nguifo, Patrick Njiwoua. 304-309
- Determining Property Relevance in Concept Formation by Computing Correlation Between PropertiesJoão José Furtado Vasco. 310-315
- A Buffering Strategy to Avoid Ordering Effects in ClusteringLuis Talavera, Josep Roure. 316-321
- Coevolutionary, Distributed Search for Inducing Concept DescriptionCosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta. 322-333
- Continuous Mimetic EvolutionAntoine Ducoulombier, Michèle Sebag. 334-345
- A Host-Parasite Genetic Algorithm for Asymmetric TasksBjörn Olsson. 346-351
- Speeding up Q(lambda)-LearningMarco Wiering, Jürgen Schmidhuber. 352-363
- Q-Learning and Redundancy Reduction in Classifier Systems with Internal StateAntonella Giani, Andrea Sticca, Fabrizio Baiardi, Antonina Starita. 364-369
- Composing Functions to Speed up Reinforcement Learning in a Changing WorldChris Drummond. 370-381
- Theoretical Results on Reinforcement Learning with Temporally Abstract OptionsDoina Precup, Richard S. Sutton, Satinder P. Singh. 382-393
- A General Convergence Method for Reinforcement Learning in the Continuous CaseRémi Munos. 394-405
- Interpretable Neural Networks with BP-SOMTon Weijters, Antal van den Bosch, H. Jaap van den Herik. 406-411
- Convergence Rate of Minimization Learning for Neural NetworksMarghny H. Mohamed, Teruya Minamoto, Koichi Niijima. 412-417