Conferences in DBLP
Naoki Abe , Hiroshi Mamitsuka A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. [Citation Graph (0, 0)][DBLP ] Conf ] David W. Aha , Stephane Lapointe , Charles X. Ling , Stan Matwin Learning Recursive Relations with Randomly Selected Small Training Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Lars Asker Improving Accuracy of Incorrect Domain Theories. [Citation Graph (0, 0)][DBLP ] Conf ] Rich Caruana , Dayne Freitag Greedy Attribute Selection. [Citation Graph (0, 0)][DBLP ] Conf ] Mark Craven , Jude W. Shavlik Using Sampling and Queries to Extract Rules from Trained Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Michael de la Maza The Generate, Test, and Explain Discovery System Architecture. [Citation Graph (0, 0)][DBLP ] Conf ] Harris Drucker , Corinna Cortes , Lawrence D. Jackel , Yann LeCun , Vladimir Vapnik Boosting and Other Machine Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Tapio Elomaa In Defense of C4.5: Notes Learning One-Level Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Johannes Fürnkranz , Gerhard Widmer Incremental Reduced Error Pruning. [Citation Graph (0, 0)][DBLP ] Conf ] Melinda T. Gervasio , Gerald DeJong An Incremental Learning Approach for Completable Planning. [Citation Graph (0, 0)][DBLP ] Conf ] Yolanda Gil Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains. [Citation Graph (0, 0)][DBLP ] Conf ] Attilio Giordana , Lorenza Saitta , Floriano Zini Learning Disjunctive Concepts by Means of Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Matthias Heger Consideration of Risk in Reinformance Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Chun-Nan Hsu , Craig A. Knoblock Rule Introduction for Semantic Query Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] George H. John , Ron Kohavi , Karl Pfleger Irrelevant Features and the Subset Selection Problem. [Citation Graph (0, 0)][DBLP ] Conf ] Jörg-Uwe Kietz , Marcus Lübbe An Efficient Subsumption Algorithm for Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Moshe Koppel , Alberto Maria Segre , Ronen Feldman Getting the Most from Flawed Theories. [Citation Graph (0, 0)][DBLP ] Conf ] David D. Lewis , Jason Catlett Heterogenous Uncertainty Sampling for Supervised Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael L. Littman Markov Games as a Framework for Multi-Agent Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sridhar Mahadevan To Discount or Not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning. [Citation Graph (0, 0)][DBLP ] Conf ] J. Jeffrey Mahoney , Raymond J. Mooney Comparing Methods for Refining Certainty-Factor Rule-Bases. [Citation Graph (0, 0)][DBLP ] Conf ] Maja J. Mataric Reward Functions for Accelerated Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Andrew W. Moore , Mary S. Lee Efficient Algorithms for Minimizing Cross Validation Error. [Citation Graph (0, 0)][DBLP ] Conf ] Patrick M. Murphy , Michael J. Pazzani Revision of Production System Rule-Bases. [Citation Graph (0, 0)][DBLP ] Conf ] David W. Opitz , Jude W. Shavlik Using Genetic Search to Refine Knowledge-based Neural Networks. [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Pazzani , Christopher J. Merz , Patrick M. Murphy , Kamal Ali , Timothy Hume , Clifford Brunk Reducing Misclassification Costs. [Citation Graph (0, 0)][DBLP ] Conf ] Jing Peng , Ronald J. Williams Incremental Multi-Step Q-Learning. [Citation Graph (0, 0)][DBLP ] Conf ] J. Ross Quinlan The Minimum Description Length Principle and Categorical Theories. [Citation Graph (0, 0)][DBLP ] Conf ] John Rachlin , Simon Kasif , Steven Salzberg , David W. Aha Towards a Better Understanding of Memory-based Reasoning Systems. [Citation Graph (1, 0)][DBLP ] Conf ] Justinian P. Rosca , Dana H. Ballard Hierarchical Self-Organization in Genetic programming. [Citation Graph (0, 0)][DBLP ] Conf ] Cullen Schaffer A Conservation Law for Generalization Performance. [Citation Graph (0, 0)][DBLP ] Conf ] Robert E. Schapire , Manfred K. Warmuth On the Worst-Case Analysis of Temporal-Difference Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Michèle Sebag A Constraint-based Induction Algorithm in FOL. [Citation Graph (0, 0)][DBLP ] Conf ] Satinder P. Singh , Tommi Jaakkola , Michael I. Jordan Learning Without State-Estimation in Partially Observable Markovian Decision Processes. [Citation Graph (0, 0)][DBLP ] Conf ] David B. Skalak Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Irina Tchoumatchenko , Jean-Gabriel Ganascia A Baysian Framework to Integrate Symbolic and Neural Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Chen K. Tham , Richard W. Prager A Modular Q-Learning Architecture for Manipulator Task Decomposition. [Citation Graph (0, 0)][DBLP ] Conf ] Paul E. Utgoff An Improved Algorithm for Incremental Induction of Decision Trees. [Citation Graph (0, 0)][DBLP ] Conf ] Raúl E. Valdés-Pérez , Aurora Pérez A Powerful Heuristic for the Discovery of Complex Patterned Behaviour. [Citation Graph (0, 0)][DBLP ] Conf ] Sholom M. Weiss , Nitin Indurkhya Small Sample Decision tree Pruning. [Citation Graph (0, 0)][DBLP ] Conf ] John M. Zelle , Raymond J. Mooney , Joshua B. Konvisser Combining Top-down and Bottom-up Techniques in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Daniel Zucker , Jean-Gabriel Ganascia Selective Reformulation of Examples in Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Michael I. Jordan A Statistical Approach to Decision Tree Modeling. [Citation Graph (0, 0)][DBLP ] Conf ] Stephen Muggleton Bayesian Inductive Logic Programming. [Citation Graph (0, 0)][DBLP ] Conf ] Fernando C. N. Pereira Frequencies vs. Biases: Machine Learning Problems in Natural Language Processing - Abstract. [Citation Graph (0, 0)][DBLP ] Conf ] 