Dennis F. Kibler

Publication Activity (10 Years)

Years Active: 1976-2005
Publications (10 Years): 0

Publications

Bob Y. Chan, Dennis F. Kibler
Using hexamers to predict cis-regulatory motifs in Drosophila. BMC Bioinform. 6 (2005)
Steven Hampson, Dennis F. Kibler, Pierre Baldi
Distribution patterns of over-represented k-mers in non-coding yeast DNA. Bioinform. 18 (4) (2002)
Steven Hampson, Pierre Baldi, Dennis F. Kibler, Suzanne B. Sandmeyer
Analysis of Yeast's ORF Upstream Regions by Parallel Processing, Microarrays, and Computational Methods. ISMB (2000)
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. SIGKDD Explor. 2 (2) (2000)
Yuh-Jyh Hu, Suzanne B. Sandmeyer, Calvin McLaughlin, Dennis F. Kibler
Combinatorial motif analysis and hypothesis generation on a genomic scale. Bioinform. 16 (3) (2000)
Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler
Detecting Motifs from Sequences. ICML (1999)
Dennis F. Kibler
Paul R. Cohen's Empirical Methods for Artificial Intelligence. Artif. Intell. 113 (1-2) (1999)
Steven Hampson, Dennis F. Kibler
Minimum Generalization Via Reflection: A Fast Linear Threshold Learner. Mach. Learn. 37 (1) (1999)
Dennis F. Kibler
A Review of Machine Learning. AI Mag. 19 (1) (1998)
Piew Datta, Dennis F. Kibler
Learning Symbolic Prototypes. ICML (1997)
Piew Datta, Dennis F. Kibler
Symbolic Nearest Mean Classifiers. AAAI/IAAI (1997)
Yuh-Jyh Hu, Dennis F. Kibler
Generation of Attributes for Learning Algorithms. AAAI/IAAI, Vol. 1 (1996)
Piew Datta, Dennis F. Kibler
Learning Prototypical Concept Descriptions. ICML (1995)
Piew Datta, Dennis F. Kibler
Concept Sharing: A Means to Improve Multi-Concept Learning. ICML (1993)
David Ruby, Dennis F. Kibler
Learning Steppingstones for Problem Solving. Int. J. Pattern Recognit. Artif. Intell. 7 (3) (1993)
Steven E. Hampson, Dennis F. Kibler
Large plateaus and plateau search in Boolean Satisfiability problems: When to give up searching and start again. Cliques, Coloring, and Satisfiability (1993)
David Ruby, Dennis F. Kibler
Learning Episodes for Optimization. ML (1992)
Michael J. Pazzani, Dennis F. Kibler
The Utility of Knowledge in Inductive Learning. Mach. Learn. 9 (1992)
David W. Aha, Dennis F. Kibler, Marc K. Albert
Instance-Based Learning Algorithms. Mach. Learn. 6 (1991)
David Ruby, Dennis F. Kibler
SteppingStone: An Empirical and Analytical Evaluation. AAAI (1991)
David Ruby, Dennis F. Kibler
Learning steppingstones for problem solving. TAI (1990)
David Ruby, Dennis F. Kibler
Learning Subgoal Sequences for Planning. IJCAI (1989)
David Rudy, Dennis F. Kibler
Learning to Plan in Complex Domains. ML (1989)
Dennis F. Kibler, David W. Aha, Marc K. Albert
Instance-based prediction of real-valued attributes. Comput. Intell. 5 (1989)
David W. Aha, Dennis F. Kibler
Noise-Tolerant Instance-Based Learning Algorithms. IJCAI (1989)
Dennis F. Kibler, Pat Langley
Machine Learning as an Experimental Science. EWSL (1988)
Dennis F. Kibler, David W. Aha
Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. EWSL (1988)
Dennis F. Kibler
The Qualitative Character of Intelligence. ICDE (1987)
Bruce W. Porter, Dennis F. Kibler
Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics. Mach. Learn. 1 (3) (1986)
John S. Conery, Dennis F. Kibler
AND Parallelism and Nondeterminism in Logic Programs. New Gener. Comput. 3 (1) (1985)
Bruce W. Porter, Dennis F. Kibler
A Comparison of Analytic and Experimental Goal Regression for Machine Learning. IJCAI (1985)
Rogers P. Hall, Dennis F. Kibler
Differing Methodological Perspectives in Artificial Intelligence. AI Mag. 6 (3) (1985)
Dennis F. Kibler, John S. Conery
Parallelism in AI Programs. IJCAI (1985)
Bruce W. Porter, Dennis F. Kibler
Learning Operator Transformations. AAAI (1984)
Dennis F. Kibler, Bruce W. Porter
Perturbation: A Means for Guiding Generalization. IJCAI (1983)
Dennis F. Kibler, Bruce W. Porter
Episodic Learning. AAAI (1983)
John S. Conery, Dennis F. Kibler
AND Parallelism in Logic Programs. IJCAI (1983)
Dennis F. Kibler, Paul Morris
Don't Be Stupid. IJCAI (1981)
John S. Conery, Dennis F. Kibler
Parallel interpretation of logic programs. FPCA (1981)
Dennis F. Kibler, James M. Neighbors, Thomas A. Standish
Program manipulation via an efficient production system. Artificial Intelligence and Programming Languages (1977)
Burt M. Leavenworth, Raymond J. Hookway, George W. Ernst, Thomas A. Standish, Dennis F. Kibler, James M. Neighbors, J. C. Huang
SICSOFT (Paper Session). ACM Annual Conference (1976)
Thomas A. Standish, Dennis F. Kibler, James M. Neighbors
Improving and refining programs by program manipulation. ACM Annual Conference (1976)
Jack Sklansky, Dennis F. Kibler
A Theory of Nonuniformly Digitized Binary Pictures. IEEE Trans. Syst. Man Cybern. 6 (9) (1976)