Conferences in DBLP
Stuart J. Russell Uncertain Learning Agents (Abstract). [Citation Graph (0, 0)][DBLP ] Conf ] Luc Stells Constructing and Sharing Perceptual Distiinctions. [Citation Graph (0, 0)][DBLP ] Conf ] Paul M. B. Vitányi , Ming Li On Prediction by Data Compression. [Citation Graph (0, 0)][DBLP ] Conf ] Eva Armengol , Enric Plaza Induction of Feature Terms With INDIE. [Citation Graph (0, 0)][DBLP ] Conf ] Cristina Baroglio Exploiting Qualitative Knoledge to Enhance Skill Acquisition. [Citation Graph (0, 0)][DBLP ] Conf ] Pawel Cichosz Integrated Learning and Planning Based on Truncating Temporal Differences. [Citation Graph (0, 0)][DBLP ] Conf ] Luc De Raedt , Peter Idestam-Almquist , Gunther Sablon Theta-Subsumption for Structural Matching. [Citation Graph (0, 0)][DBLP ] Conf ] Gülsen Demiröz , H. Altay Güvenir Classification by Voting Feature Intervals. [Citation Graph (0, 0)][DBLP ] Conf ] Janez Demsar , Blaz Zupan , Marko Bohanec , Ivan Bratko Constructing Intermediate Concepts by Decomposition of Real Functions. [Citation Graph (0, 0)][DBLP ] Conf ] Dragan Gamberger , Nada Lavrac Conditions for Occam's Razor Applicability and Noise Elimination. [Citation Graph (0, 0)][DBLP ] Conf ] Yuh-Jyh Hu Learning Different Types of New Attributes by Combining the Neural Network and Iterative Attribute Construction. [Citation Graph (0, 0)][DBLP ] Conf ] Alan Hutchinson Metrics on Terms and Clauses. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Kubat , Robert C. Holte , Stan Matwin Learning When Negative Examples Abound. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolas Lachiche , Pierre Marquis A Model for Generalization Based on Confirmatory Induction. [Citation Graph (0, 0)][DBLP ] Conf ] Lionel Martin , Christel Vrain Learning Linear Constraints in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Rémi Munos Finite-Element Methods with Local Triangulation Refinement for Continuous Reimforcement Learning Problems. [Citation Graph (0, 0)][DBLP ] Conf ] Nikolay I. Nikolaev , Vanio Slavov Inductive Genetic Programming with Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Tim Oates , Matthew D. Schmill , Paul R. Cohen Parallel and Distributed Search for Structure in Multivariate Time Series. [Citation Graph (0, 0)][DBLP ] Conf ] Bernhard Pfahringer Compression-Based Pruning of Decision Lists. [Citation Graph (0, 0)][DBLP ] Conf ] Rafal Salustowicz , Jürgen Schmidhuber Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space. [Citation Graph (0, 0)][DBLP ] Conf ] Rudy Setiono , Huan Liu NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Ning Shan , Howard J. Hamilton , Nick Cercone Inducing and Using Decision Rules in the GRG Knowledge Discovery System. [Citation Graph (0, 0)][DBLP ] Conf ] Csaba Szepesvári Learning and Exploitation Do Not Conflict Under Minimax Optimality. [Citation Graph (0, 0)][DBLP ] Conf ] Kai Ming Ting , Boon Toh Low Model Combination in the Multiple-Data-Batches Scenario. [Citation Graph (0, 0)][DBLP ] Conf ] Luís Torgo , João Gama Search-Based Class Discretization. [Citation Graph (0, 0)][DBLP ] Conf ] Fabien Torre , Céline Rouveirol Natural Ideal Operators in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Koen Vanhoof , Josée Bloemer , K. Pauwels A Case Study in Loyality and Satisfaction Research. [Citation Graph (0, 0)][DBLP ] Conf ] Cristina Versino , Luca Maria Gambardella Ibots Learn Genuine Team Solutions. [Citation Graph (0, 0)][DBLP ] Conf ] Ricardo Vilalta , Gunnar Blix , Larry A. Rendell Global Data Analysis and the Fragmentation Problem in Decision Tree Induction. [Citation Graph (0, 0)][DBLP ] Conf ] David W. Aha , Dietrich Wettschereck Case-Based Learning: Beyond Classification of Feature Vectors. [Citation Graph (0, 0)][DBLP ] Conf ] Walter Daelemans , Antal van den Bosch , Ton Weijters Empirical Learning of Natural Language Processing Task. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Kaiser , Volker Klingspor , Holger Friedrich Human-Agent Interaction and Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Charles Taylor , Gholamreza Nakhaeizadeh Learning in Dynamically Changing Domains: Theory Revision and Context Dependence Issues. [Citation Graph (0, 0)][DBLP ] Conf ] 