Conferences in DBLP
Shumeet Baluja The Evolution of Gennetic Algorithms: Towards Massive Parallelism. [Citation Graph (0, 0)][DBLP ] Conf ] Pierre Brézellec , Henry Soldano ÉLÉNA: A Bottom-Up Learning Method. [Citation Graph (0, 0)][DBLP ] Conf ] Carla E. Brodley Automatic Algorith/Model Class Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Claire Cardie Using Decision Trees to Improve Case-Based Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Claudio Carpineto , Giovanni Romano GALOIS: An Order-Theoretic Approach to Conceptual Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Rich Caruana Multitask Learning: A Knowledge-Based Source of Inductive Bias. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Clark , Stan Matwin Using Qualitative Models to Guide Inductive Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Paul R. Cohen , Adam Carlson , Lisa Ballesteros , Adam St. Amant Automating Path Analysis for Building Causal Models from Data. [Citation Graph (0, 0)][DBLP ] Conf ] Dennis Connolly Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Craven , Jude W. Shavlik Learning Symbolic Rules Using Artificial Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Andrea Pohoreckyj Danyluk , Foster J. Provost Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network. [Citation Graph (0, 0)][DBLP ] Conf ] Piew Datta , Dennis F. Kibler Concept Sharing: A Means to Improve Multi-Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Saso Dzeroski , Ljupco Todorovski Discovering Dynamics. [Citation Graph (0, 0)][DBLP ] Conf ] Thomas Ellman Synthesis of Abstraction Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects. [Citation Graph (0, 0)][DBLP ] Conf ] Usama M. Fayyad , Nicholas Weir , S. George Djorgovski SKICAT: A Machine Learning System for Automated Cataloging of Large Scale Sky Surveys. [Citation Graph (0, 0)][DBLP ] Conf ] Michael Frazier , Leonard Pitt Learning From Entailment: An Application to Propositional Horn Sentences. [Citation Graph (0, 0)][DBLP ] Conf ] Yolanda Gil Efficient Domain-Independent Experimentation. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Gratch , Steve A. Chien , Gerald DeJong Learning Search Control Knowledge for Deep Space Network Scheduling. [Citation Graph (0, 0)][DBLP ] Conf ] Scott B. Huffman , John E. Laird Learning Procedures from Interactive Natural Language Instructions. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Idestam-Almquist Generalization under Implication by Recursive Anti-unification. [Citation Graph (0, 0)][DBLP ] Conf ] Michael I. Jordan , Robert A. Jacobs Supervised Learning and Divide-and-Conquer: A Statistical Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Leslie Pack Kaelbling Hierarchical Learning in Stochastic Domains: Preliminary Results. [Citation Graph (0, 0)][DBLP ] Conf ] Jihie Kim , Paul S. Rosenbloom Constraining Learning with Search Control. [Citation Graph (0, 0)][DBLP ] Conf ] Long Ji Lin Scaling Up Reinforcement Learning for Robot Control. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew McCallum Overcoming Incomplete Perception with Util Distinction Memory. [Citation Graph (0, 0)][DBLP ] Conf ] Tom M. Mitchell , Sebastian Thrun Explanation Based Learning: A Comparison of Symbolic and Neural Network Approaches. [Citation Graph (0, 0)][DBLP ] Conf ] Dunja Mladenic Combinatorial Optimization in Inductive Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Musick , Jason Catlett , Stuart J. Russell Decision Theoretic Subsampling for Induction on Large Databases. [Citation Graph (1, 0)][DBLP ] Conf ] Steven W. Norton , Haym Hirsh Learning DNF Via Probabilistic Evidence Combination. [Citation Graph (0, 0)][DBLP ] Conf ] Paul O'Rorke , Yousri El Fattah , Margaret Elliott Explaining and Generalizing Diagnostic Decisions. [Citation Graph (0, 0)][DBLP ] Conf ] J. Ross Quinlan Combining Instance-Based and Model-Based Learning. [Citation Graph (1, 0)][DBLP ] Conf ] R. Bharat Rao , Thomas B. Voigt , Thomas W. Fermanian Data Mining of Subjective Agricultural Data. [Citation Graph (0, 0)][DBLP ] Conf ] Harish Ragavan , Larry A. Rendell Lookahead Feature Construction for Learning Hard Concepts. [Citation Graph (1, 0)][DBLP ] Conf ] Jean-Michel Renders , Hugues Bersini , Marco Saerens Adaptive NeuroControl: How Black Box and Simple can it be. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Rymon An SE-tree based Characterization of the Induction Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Marcos Salganicoff Density-Adaptive Learning and Forgetting. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey C. Schlimmer Efficiently Inducing Determinations: A Complete and Systematic Search Algorithm that Uses Optimal Pruning. [Citation Graph (1, 0)][DBLP ] Conf ] Eddie Schwalb Compiling Bayesian Networks into Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Anton Schwartz A Reinforcement Learning Method for Maximizing Undiscounted Rewards. [Citation Graph (0, 0)][DBLP ] Conf ] Daniel B. Schwartz ATM SCheduling with Queuing Dely Predictions. [Citation Graph (0, 0)][DBLP ] Conf ] Richard S. Sutton , Steven D. Whitehead Online Learning with Random Representations. [Citation Graph (0, 0)][DBLP ] Conf ] Prasad Tadepalli Learning from Queries and Examples with Tree-structured Bias. [Citation Graph (0, 0)][DBLP ] Conf ] Ming Tan Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents. [Citation Graph (0, 0)][DBLP ] Conf ] Kurt VanLehn , Randolph M. Jones Better Learners Use Analogical Problem Solving Sparingly. [Citation Graph (0, 0)][DBLP ] Conf ] 