Dennis F. Kibler

According to our database, Dennis F. Kibler authored at least 42 papers between 1976 and 2005.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2005

Using hexamers to predict cis-regulatory motifs in Drosophila.

Bob Y. Chan, Dennis F. Kibler

BMC Bioinform., 2005

2002

Distribution patterns of over-represented k-mers in non-coding yeast DNA.

Steven Hampson, Dennis F. Kibler, Pierre Baldi

Bioinform., 2002

2000

The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation.

Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth

SIGKDD Explor., 2000

Combinatorial motif analysis and hypothesis generation on a genomic scale.

Yuh-Jyh Hu, Suzanne B. Sandmeyer, Calvin McLaughlin, Dennis F. Kibler

Bioinform., 2000

Analysis of Yeast's ORF Upstream Regions by Parallel Processing, Microarrays, and Computational Methods.

Steven Hampson, Pierre Baldi, Dennis F. Kibler, Suzanne B. Sandmeyer

Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

1999

Minimum Generalization Via Reflection: A Fast Linear Threshold Learner.

Steven Hampson, Dennis F. Kibler

Mach. Learn., 1999

Paul R. Cohen's Empirical Methods for Artificial Intelligence.

Dennis F. Kibler

Artif. Intell., 1999

Detecting Motifs from Sequences.

Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

A Review of Machine Learning.

Dennis F. Kibler

AI Mag., 1998

1997

Learning Symbolic Prototypes.

Piew Datta, Dennis F. Kibler

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Symbolic Nearest Mean Classifiers.

Piew Datta, Dennis F. Kibler

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Generation of Attributes for Learning Algorithms.

Yuh-Jyh Hu, Dennis F. Kibler

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

Learning Prototypical Concept Descriptions.

Piew Datta, Dennis F. Kibler

Proceedings of the Machine Learning, 1995

1993

Learning Steppingstones for Problem Solving.

David Ruby, Dennis F. Kibler

Int. J. Pattern Recognit. Artif. Intell., 1993

Concept Sharing: A Means to Improve Multi-Concept Learning.

Piew Datta, Dennis F. Kibler

Proceedings of the Machine Learning, 1993

Large plateaus and plateau search in Boolean Satisfiability problems: When to give up searching and start again.

Steven E. Hampson, Dennis F. Kibler

Proceedings of the Cliques, 1993

1992

The Utility of Knowledge in Inductive Learning.

Michael J. Pazzani, Dennis F. Kibler

Mach. Learn., 1992

Learning Episodes for Optimization.

David Ruby, Dennis F. Kibler

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991

Instance-Based Learning Algorithms.

David W. Aha, Dennis F. Kibler, Marc K. Albert

Mach. Learn., 1991

SteppingStone: An Empirical and Analytical Evaluation.

David Ruby, Dennis F. Kibler

Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1989

Instance-based prediction of real-valued attributes.

Dennis F. Kibler, David W. Aha, Marc K. Albert

Comput. Intell., 1989

Learning Subgoal Sequences for Planning.

David Ruby, Dennis F. Kibler

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Noise-Tolerant Instance-Based Learning Algorithms.

David W. Aha, Dennis F. Kibler

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Learning to Plan in Complex Domains.

David Rudy, Dennis F. Kibler

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Machine Learning as an Experimental Science.

Dennis F. Kibler, Pat Langley

Proceedings of the Third European Working Session on Learning, 1988

Comparing Instance-Averaging with Instance-Filtering Learning Algorithms.

Dennis F. Kibler, David W. Aha

Proceedings of the Third European Working Session on Learning, 1988

1987

The Qualitative Character of Intelligence.

Dennis F. Kibler

Proceedings of the Third International Conference on Data Engineering, 1987

1986

Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics.

Bruce W. Porter, Dennis F. Kibler

Mach. Learn., 1986

1985

AND Parallelism and Nondeterminism in Logic Programs.

John S. Conery, Dennis F. Kibler

New Gener. Comput., 1985

Differing Methodological Perspectives in Artificial Intelligence.

Rogers P. Hall, Dennis F. Kibler

AI Mag., 1985

A Comparison of Analytic and Experimental Goal Regression for Machine Learning.

Bruce W. Porter, Dennis F. Kibler

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Parallelism in AI Programs.

Dennis F. Kibler, John S. Conery

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1984

Learning Operator Transformations.

Bruce W. Porter, Dennis F. Kibler

Proceedings of the National Conference on Artificial Intelligence. Austin, 1984

1983

Perturbation: A Means for Guiding Generalization.

Dennis F. Kibler, Bruce W. Porter

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

AND Parallelism in Logic Programs.

John S. Conery, Dennis F. Kibler

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

Episodic Learning.

Dennis F. Kibler, Bruce W. Porter

Proceedings of the National Conference on Artificial Intelligence, 1983

1981

Don't Be Stupid.

Dennis F. Kibler, Paul Morris

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

Parallel interpretation of logic programs.

John S. Conery, Dennis F. Kibler

Proceedings of the 1981 conference on Functional programming languages and computer architecture, 1981

1977

Program manipulation via an efficient production system.

Dennis F. Kibler, James M. Neighbors, Thomas A. Standish

Proceedings of the 1977 Symposium on Artificial Intelligence and Programming Languages, 1977

1976

A Theory of Nonuniformly Digitized Binary Pictures.

Jack Sklansky, Dennis F. Kibler

IEEE Trans. Syst. Man Cybern., 1976

Improving and refining programs by program manipulation.

Thomas A. Standish, Dennis F. Kibler, James M. Neighbors

Proceedings of the 1976 Annual Conference, Houston, Texas, USA, October 20-22, 1976, 1976

SICSOFT (Paper Session).

Burt M. Leavenworth, Raymond J. Hookway, George W. Ernst, Thomas A. Standish, Dennis F. Kibler, James M. Neighbors, J. C. Huang

Proceedings of the 1976 Annual Conference, Houston, Texas, USA, October 20-22, 1976, 1976