Conferences in DBLP
Kenneth DeJong Learning in Agent-Oriented Worlds (Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] David D. Lewis Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval. [Citation Graph (0, 0)][DBLP ] Conf ] Nuno Miguel Marques , José Gabriel Pereira Lopes , Carlos Agra Coelho Learning Verbal Transitivity Using LogLinear Models. [Citation Graph (0, 0)][DBLP ] Conf ] Lluís Màrquez , Horacio Rodríguez Part-of-Speech Tagging Using Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] François Coste , Jacques Nicolas Inference of Finite Automata: Reducing the Search Space with an Ordering of Pairs of States. [Citation Graph (0, 0)][DBLP ] Conf ] René Schneider Automatic Acquisition of Lexical Knowledge from Sparse and Noisy Data. [Citation Graph (0, 0)][DBLP ] Conf ] Sylvain Létourneau , Stan Matwin , Fazel Famili A Normalization Method for Contextual Data: Experience from a Large-Scale Application. [Citation Graph (0, 0)][DBLP ] Conf ] Claude Sammut , Tatjana Zrimec Learning to Classify X-Ray Images Using Relational Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Saso Dzeroski , Nico Jacobs , Martín Molina , Carlos Moure ILP Experiments in Detecting Traffic Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Filippo Neri Simulating Children Learning and Explaining Elementary Heat Transfer Phenomena: A Multistrategy System at Work. [Citation Graph (0, 0)][DBLP ] Conf ] Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri Bayes Optimal Instance-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri , Peter Grünwald Bayesian and Information-Theories Priors for Bayesian Network Parameters. [Citation Graph (0, 0)][DBLP ] Conf ] Dunja Mladenic Feature Subset Selection in Text-Learning. [Citation Graph (1, 0)][DBLP ] Conf ] Huan Liu , Hiroshi Motoda , Manoranjan Dash A Monotonic Measure for Optimal Feature Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Rui Camacho Inducing Models of human Control Skills. [Citation Graph (0, 0)][DBLP ] Conf ] Hilan Bensusan God Doesn't Always Shave with Occam's Razor - Learning When and How to Prune. [Citation Graph (0, 0)][DBLP ] Conf ] Luís Torgo Error Estimators for Pruning Regression Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey P. Bradford , Clayton Kunz , Ron Kohavi , Clifford Brunk , Carla E. Brodley Pruning Decision Trees with Misclassification Costs. [Citation Graph (0, 0)][DBLP ] Conf ] Thorsten Joachims Text Categorization with Suport Vector Machines: Learning with Many Relevant Features. [Citation Graph (0, 0)][DBLP ] Conf ] Rolf Rossius , Gérard Zenker , Andreas Ittner , Werner Dilger A Short Note About the Application of Polynomial Kernels with Fractional Degree in Support Vector Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Murlikrishna Viswanathan , Geoffrey I. Webb Classification Learning Using All Rules. [Citation Graph (0, 0)][DBLP ] Conf ] Miguel Moreira , Eddy Mayoraz Improved Pairwise Coupling Classification with Correcting Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Jacek Jelonek , Jerzy Stefanowski Experiments on Solving Multiclass Learning Problems by n2 -classifier. [Citation Graph (0, 0)][DBLP ] Conf ] Joao Gama Combining Classifiers by Constructive Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Ming Ting , Zijian Zheng Boosting Trees for Cost-Sensitive Classifications. [Citation Graph (0, 0)][DBLP ] Conf ] Zijian Zheng Naive Bayesian Classifier Committees. [Citation Graph (0, 0)][DBLP ] Conf ] Petri Kontkanen , Petri Myllymäki , Tomi Silander , Henry Tirri Batch Classification with Discrete Finite Mixtures. [Citation Graph (0, 0)][DBLP ] Conf ] Ute Schmid , Fritz Wysotzki Induction of Recursive Program Schemes. [Citation Graph (0, 0)][DBLP ] Conf ] Henrik Boström Predicate Invention and Learning from Positive Examples Only. [Citation Graph (0, 0)][DBLP ] Conf ] Dominique Bouthinon , Henry Soldano An Inductive Logic Programming Framework to Learn a Concept from Ambiguous Examples. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Craven , Seán Slattery , Kamal Nigam First-Order Learning for Web Mining. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Schrödl Explanation-Based Generalization in Game Playing: Quantitative Results. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolas Lachiche , Pierre Marquis Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterisation. [Citation Graph (0, 0)][DBLP ] Conf ] Francesco Ricci , David W. Aha Error-Correcting Output Codes for Local Learners. [Citation Graph (0, 0)][DBLP ] Conf ] Gianluca Bontempi , Mauro Birattari , Hugues Bersini Recursive Lazy Learning for Modeling and Control. [Citation Graph (0, 0)][DBLP ] Conf ] Engelbert Mephu Nguifo , Patrick Njiwoua Using Lattice-Based Framework as a Tool for Feature Extraction. [Citation Graph (0, 0)][DBLP ] Conf ] João José Furtado Vasco Determining Property Relevance in Concept Formation by Computing Correlation Between Properties. [Citation Graph (0, 0)][DBLP ] Conf ] Luis Talavera , Josep Roure A Buffering Strategy to Avoid Ordering Effects in Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Cosimo Anglano , Attilio Giordana , Giuseppe Lo Bello , Lorenza Saitta Coevolutionary, Distributed Search for Inducing Concept Description. [Citation Graph (0, 0)][DBLP ] Conf ] Antoine Ducoulombier , Michèle Sebag Continuous Mimetic Evolution. [Citation Graph (0, 0)][DBLP ] Conf ] Björn Olsson A Host-Parasite Genetic Algorithm for Asymmetric Tasks. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Wiering , Jürgen Schmidhuber Speeding up Q(lambda)-Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Antonella Giani , Andrea Sticca , Fabrizio Baiardi , Antonina Starita Q-Learning and Redundancy Reduction in Classifier Systems with Internal State. [Citation Graph (0, 0)][DBLP ] Conf ] Chris Drummond Composing Functions to Speed up Reinforcement Learning in a Changing World. [Citation Graph (0, 0)][DBLP ] Conf ] Doina Precup , Richard S. Sutton , Satinder P. Singh Theoretical Results on Reinforcement Learning with Temporally Abstract Options. [Citation Graph (0, 0)][DBLP ] Conf ] Rémi Munos A General Convergence Method for Reinforcement Learning in the Continuous Case. [Citation Graph (0, 0)][DBLP ] Conf ] Ton Weijters , Antal van den Bosch , H. Jaap van den Herik Interpretable Neural Networks with BP-SOM. [Citation Graph (0, 0)][DBLP ] Conf ] Marghny H. Mohamed , Teruya Minamoto , Koichi Niijima Convergence Rate of Minimization Learning for Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] 