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First name:	Dennis F.
Last name:	Kibler
DBLP:	k/DennisFKibler
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Show	Title	Venue	Rating	Date
	Bob Y. Chan, Dennis F. Kibler. Using hexamers to predict cis-regulatory motifs in Drosophila.	BMC Bioinformatics 2005, Volume 6	(0)	2005
	Steven E. Hampson, Dennis F. Kibler, Pierre Baldi. Distribution patterns of over-represented k-mers in non-coding yeast DNA.	Bioinformatics 2002, Volume 18	(0)	2002
	Steven E. Hampson, Pierre Baldi, Dennis F. Kibler, Suzanne B. Sandmeyer. Analysis of Yeast's ORF Upstream Regions by Parallel Processing, Microarrays, and Computational Methods.	Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, August 19-23, 2000, La Jolla / San Diego, CA, USA 2000	(0)	2000
	Yuh-Jyh Hu, Suzanne B. Sandmeyer, Calvin McLaughlin, Dennis F. Kibler. Combinatorial motif analysis and hypothesis generation on a genomic scale.	Bioinformatics 2000, Volume 16	(0)	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 Explorations 2000, Volume 2	(0)	2000
	Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler. Detecting Motifs from Sequences.	Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999 1999	(0)	1999
	Dennis F. Kibler. Paul R. Cohen's Empirical Methods for Artificial Intelligence.	Artif. Intell. 1999, Volume 113	(0)	1999
	Steven E. Hampson, Dennis F. Kibler. Minimum Generalization Via Reflection: A Fast Linear Threshold Learner.	Machine Learning 1999, Volume 37	(0)	1999
	Dennis F. Kibler. A Review of Machine Learning.	AI Magazine 1998, Volume 19	(0)	1998
	Piew Datta, Dennis F. Kibler. Symbolic Nearest Mean Classifiers.	AAAI/IAAI 1997	(0)	1997
	Piew Datta, Dennis F. Kibler. Learning Symbolic Prototypes.	Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), Nashville, Tennessee, USA, July 8-12, 1997 1997	(0)	1997
	Yuh-Jyh Hu, Dennis F. Kibler. Generation of Attributes for Learning Algorithms.	AAAI/IAAI, Vol. 1 1996	(0)	1996
	Piew Datta, Dennis F. Kibler. Learning Prototypical Concept Descriptions.	ICML 1995	(0)	1995
	Piew Datta, Dennis F. Kibler. Concept Sharing: A Means to Improve Multi-Concept Learning.	ICML 1993	(0)	1993
	David Ruby, Dennis F. Kibler. Learning Steppingstones for Problem Solving.	IJPRAI 1993, Volume 7	(0)	1993
	David Ruby, Dennis F. Kibler. Learning Episodes for Optimization.	Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), Aberdeen, Scotland, UK, July 1-3, 1992 1992	(0)	1992
	Michael J. Pazzani, Dennis F. Kibler. The Utility of Knowledge in Inductive Learning.	Machine Learning 1992, Volume 9	(0)	1992
	David Ruby, Dennis F. Kibler. SteppingStone: An Empirical and Analytical Evaluation.	AAAI 1991	(0)	1991
	David W. Aha, Dennis F. Kibler, Marc K. Albert. Instance-Based Learning Algorithms.	Machine Learning 1991, Volume 6	(0)	1991
	David Rudy, Dennis F. Kibler. Learning to Plan in Complex Domains.	Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), Cornell University, Ithaca, New York, USA, June 26-27, 1989 1989	(0)	1989
	David W. Aha, Dennis F. Kibler. Noise-Tolerant Instance-Based Learning Algorithms.	IJCAI 1989	(0)	1989
	David Ruby, Dennis F. Kibler. Learning Subgoal Sequences for Planning.	IJCAI 1989	(0)	1989
	Dennis F. Kibler, David W. Aha, Marc K. Albert. Instance-based prediction of real-valued attributes.	Computational Intelligence 1989, Volume 5	(0)	1989
	Dennis F. Kibler, Pat Langley. Machine Learning as an Experimental Science.	EWSL 1988	(0)	1988
	Dennis F. Kibler, David W. Aha. Comparing Instance-Averaging with Instance-Filtering Learning Algorithms.	EWSL 1988	(0)	1988

Your query returned 35 matches in the database.