Kibler, Dennis F.

22 publications

ICML 1999 Detecting Motifs from Sequences Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler

MLJ 1999 Minimum Generalization via Reflection: A Fast Linear Threshold Learner Steven Hampson, Dennis F. Kibler

ICML 1997 Learning Symbolic Prototypes Piew Datta, Dennis F. Kibler

AAAI 1997 Symbolic Nearest Mean Classifiers Piew Datta, Dennis F. Kibler

AAAI 1996 Generation of Attributes for Learning Algorithms Yuh-Jyh Hu, Dennis F. Kibler

ICML 1995 Learning Prototypical Concept Descriptions Piew Datta, Dennis F. Kibler

ICML 1993 Concept Sharing: A Means to Improve Multi-Concept Learning Piew Datta, Dennis F. Kibler

ICML 1992 Learning Episodes for Optimization David Ruby, Dennis F. Kibler

MLJ 1992 The Utility of Knowledge in Inductive Learning Michael J. Pazzani, Dennis F. Kibler

MLJ 1991 Instance-Based Learning Algorithms David W. Aha, Dennis F. Kibler, Marc K. Albert

AAAI 1991 SteppingStone: An Empirical and Analytical Evaluation David Ruby, Dennis F. Kibler

IJCAI 1989 Learning Subgoal Sequences for Planning David Ruby, Dennis F. Kibler

ICML 1989 Learning to Plan in Complex Domains David Rudy, Dennis F. Kibler

IJCAI 1989 Noise-Tolerant Instance-Based Learning Algorithms David W. Aha, Dennis F. Kibler

MLJ 1986 Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics Bruce W. Porter, Dennis F. Kibler

IJCAI 1985 A Comparison of Analytic and Experimental Goal Regression for Machine Learning Bruce W. Porter, Dennis F. Kibler

IJCAI 1985 Parallelism in AI Programs Dennis F. Kibler, John S. Conery

AAAI 1984 Learning Operator Transformations Bruce W. Porter, Dennis F. Kibler

IJCAI 1983 AND Parallelism in Logic Programs John S. Conery, Dennis F. Kibler

AAAI 1983 Episodic Learning Dennis F. Kibler, Bruce W. Porter

IJCAI 1983 Perturbation: A Means for Guiding Generalization Dennis F. Kibler, Bruce W. Porter

IJCAI 1981 Don't Be Stupid Dennis F. Kibler, Paul Morris