Conferences in DBLP
Attilio Giordana , Davide Roverso , Lorenza Saitta Abstracting Background Knowledge for Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Gheorghe Tecuci A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition. [Citation Graph (0, 0)][DBLP ] Conf ] Gerhard Widmer Using Plausible Explanations to Bias Empirical Generalizations in Weak Theory Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Der-Shung Yang , Gunnar Blix , Larry A. Rendell The Replication Problem: A Constructive Induction Approach. [Citation Graph (0, 0)][DBLP ] Conf ] F. Zerr , Jean-Gabriel Ganascia Integrating an Explanation-Based Learning Mechanism into a General Problem-Solver. [Citation Graph (0, 0)][DBLP ] Conf ] Claudio Carpineto Analytical Negative Generalization and Empirical Negative Generalization are not Cumulative: A Case Study. [Citation Graph (0, 0)][DBLP ] Conf ] Francesco Bergadano , Floriana Esposito , Céline Rouveirol , Stefan Wrobel Panel: Evaluating and Changing Representation in Concept Acquisition. [Citation Graph (0, 0)][DBLP ] Conf ] Jan M. Zytkow , Jieming Zhu Panel: Application of Empirical Discovery in Knowledge Acquisition. [Citation Graph (0, 0)][DBLP ] Conf ] Majorie Moulet Using Accuracy in Scientific Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Gilles Bisson KBG: A Generator of Knowledge Bases. [Citation Graph (0, 0)][DBLP ] Conf ] Bojan Cestnik , Ivan Bratko On Estimating Probabilities in Tree Pruning. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Clark , Robin Boswell Rule Induction with CN2: Some Recent Improvements. [Citation Graph (1, 0)][DBLP ] Conf ] Jason Catlett On Changing Continuous Attributes into Ordered Discrete Attributes. [Citation Graph (1, 0)][DBLP ] Conf ] Floor Verdenius A Method for Inductive Cost Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Cullen Schaffer When Does Overfitting Decrease Prediction Accuracy in Induced Decision Trees and Rule Sets?. [Citation Graph (0, 0)][DBLP ] Conf ] Igor Kononenko Semi-Naive Bayesian Classifier. [Citation Graph (0, 0)][DBLP ] Conf ] Christine Decaestecker Description Contrasting in Incremental Concept Formation. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Kubat , Jirina Pavlickova The System FLORA: Learning from Type-Varying Training Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Marco Dorigo Message-Based Bucket Brigade: An Algorithm for the Apportionment of Credit Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Luc De Raedt , Johan Feyaerts , Maurice Bruynooghe Acquiring Object-Knowledge for Learning Systems. [Citation Graph (0, 0)][DBLP ] Conf ] Nada Lavrac , Saso Dzeroski , Marko Grobelnik Learning Nonrecursive Definitions of Relations with LINUS. [Citation Graph (1, 0)][DBLP ] Conf ] Igor Mozetic , Christian Holzbaur Extending Explanation-Based Generalization by Abstraction Operators. [Citation Graph (0, 0)][DBLP ] Conf ] Catherine Belleannée , Jacques Nicolas Static Learning for an Adaptive Theorem Prover. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Zercher Explanation-Based Generalization and Constraint Propagation with Interval Labels. [Citation Graph (0, 0)][DBLP ] Conf ] Paulo Urbano Learning by Explanation of Failures. [Citation Graph (0, 0)][DBLP ] Conf ] Luc De Raedt Panel: Logic and Learnability. [Citation Graph (0, 0)][DBLP ] Conf ] Lorenza Saitta Panel: Causality and Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Jacques Nicolas Seed Space and Version Space: Generalizing from Approximations. [Citation Graph (0, 0)][DBLP ] Conf ] Sylvain Delisle , Stan Matwin , Lionel Zupan Integrating EBL with automatic Text Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Béatrice Duval Abduction and Induction for Explanation-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Shan-Hwei Nienhuys-Cheng , Peter A. Flach Consistent Term Mappings, Term Partitions and Inverse Resolution. [Citation Graph (0, 0)][DBLP ] Conf ] Manuela M. Veloso , Jaime G. Carbonell Learning by Analogical Replay in PRODIGY: First Results. [Citation Graph (0, 0)][DBLP ] Conf ] Birgit Tausend , Siegfried Bell Analogical Reasoning for Logic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Beatriz López , Enric Plaza Case-Based Learning of Strategic Knowledge. [Citation Graph (1, 0)][DBLP ] Conf ] Pavel Brazdil , Matjaz Gams , Sati S. Sian , Luís Torgo , Walter Van de Velde Panel: Learning in Distributed Systems and Multi-Agent Environments. [Citation Graph (0, 0)][DBLP ] Conf ] Pavel Brazdil , Stephen Muggleton Learning to Relate Terms in a Multiple Agent Environment. [Citation Graph (0, 0)][DBLP ] Conf ] Sati S. Sian Extending Learning to Multiple Agents: Issues and a Model for Multi-Agent Machine Learning (MA-ML). [Citation Graph (0, 0)][DBLP ] Conf ] Peter Clark , Bojan Cestnik , Claude Sammut , Joachim Stender Panel: Applications of Machine Learning: Notes from the Panel Members. [Citation Graph (0, 0)][DBLP ] Conf ] Hakim Lounis , Gilles Bisson Evaluation of Learning Systems: An Artificial Data-Based Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Luigi Di Pace , F. Fabrocini , G. Bolis Shift of Bias in Learning from Drug Compounds: The Fleming Project. [Citation Graph (0, 0)][DBLP ] Conf ] Eduardo F. Morales Learning Features by Experimentation in Chess. [Citation Graph (0, 0)][DBLP ] Conf ] Francis Courtot Representation and Induction of Musical Structures for Computer Assisted Composition. [Citation Graph (0, 0)][DBLP ] Conf ] Steffen Schulze-Kremer , Ross D. King IPSA: Inductive Protein Structure Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas R. Addis , Yves Kodratoff , Ramon López de Mántaras , Katharina Morik , Enric Plaza Panel: Four Stances on Knowledge Acquisition and Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] 