Dennis F. Kibler

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	2005
j14		Bob Y. Chan, Dennis F. Kibler: Using hexamers to predict cis-regulatory motifs in Drosophila. BMC Bioinformatics 6: 262 (2005)
	2002
j13		Steven Hampson, Dennis F. Kibler, Pierre Baldi: Distribution patterns of over-represented k-mers in non-coding yeast DNA. Bioinformatics 18(4): 513-528 (2002)
	2000
j12		Yuh-Jyh Hu, Suzanne B. Sandmeyer, Calvin McLaughlin, Dennis F. Kibler: Combinatorial motif analysis and hypothesis generation on a genomic scale. Bioinformatics 16(3): 222-232 (2000)
j11		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 2(2): 81-85 (2000)
c22		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: 190-201
	1999
j10		Dennis F. Kibler: Paul R. Cohen's Empirical Methods for Artificial Intelligence. Artif. Intell. 113(1-2): 281-284 (1999)
j9		Steven Hampson, Dennis F. Kibler: Minimum Generalization Via Reflection: A Fast Linear Threshold Learner. Machine Learning 37(1): 51-73 (1999)
c21		Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler: Detecting Motifs from Sequences. ICML 1999: 181-190
	1998
j8		Dennis F. Kibler: A Review of Machine Learning. AI Magazine 19(1): 136 (1998)
	1997
c20		Piew Datta, Dennis F. Kibler: Symbolic Nearest Mean Classifiers. AAAI/IAAI 1997: 82-87
c19		Piew Datta, Dennis F. Kibler: Learning Symbolic Prototypes. ICML 1997: 75-82
	1996
c18		Yuh-Jyh Hu, Dennis F. Kibler: Generation of Attributes for Learning Algorithms. AAAI/IAAI, Vol. 1 1996: 806-811
	1995
c17		Piew Datta, Dennis F. Kibler: Learning Prototypical Concept Descriptions. ICML 1995: 158-166
	1993
j7		David Ruby, Dennis F. Kibler: Learning Steppingstones for Problem Solving. IJPRAI 7(3): 527-540 (1993)
c16		Piew Datta, Dennis F. Kibler: Concept Sharing: A Means to Improve Multi-Concept Learning. ICML 1993: 89-96
	1992
j6		Michael J. Pazzani, Dennis F. Kibler: The Utility of Knowledge in Inductive Learning. Machine Learning 9: 57-94 (1992)
c15		David Ruby, Dennis F. Kibler: Learning Episodes for Optimization. ML 1992: 379-384
	1991
j5		David W. Aha, Dennis F. Kibler, Marc K. Albert: Instance-Based Learning Algorithms. Machine Learning 6: 37-66 (1991)
c14		David Ruby, Dennis F. Kibler: SteppingStone: An Empirical and Analytical Evaluation. AAAI 1991: 527-532
	1989
j4		Dennis F. Kibler, David W. Aha, Marc K. Albert: Instance-based prediction of real-valued attributes. Computational Intelligence 5: 51-57 (1989)
c13		David Rudy, Dennis F. Kibler: Learning to Plan in Complex Domains. ML 1989: 180-182
c12		David Ruby, Dennis F. Kibler: Learning Subgoal Sequences for Planning. IJCAI 1989: 609-614
c11		David W. Aha, Dennis F. Kibler: Noise-Tolerant Instance-Based Learning Algorithms. IJCAI 1989: 794-799
	1988
c10		Dennis F. Kibler, David W. Aha: Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. EWSL 1988: 63-79
c9		Dennis F. Kibler, Pat Langley: Machine Learning as an Experimental Science. EWSL 1988: 81-92
	1987
c8		Dennis F. Kibler: The Qualitative Character of Intelligence. ICDE 1987: 289-290
	1986
j3		Bruce W. Porter, Dennis F. Kibler: Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics. Machine Learning 1(3): 249-286 (1986)
	1985
j2		Rogers P. Hall, Dennis F. Kibler: Differing Methodological Perspectives in Artificial Intelligence. AI Magazine 6(3): 166-178 (1985)
j1		John S. Conery, Dennis F. Kibler: AND Parallelism and Nondeterminism in Logic Programs. New Generation Comput. 3(1): 43-70 (1985)
c7		Dennis F. Kibler, John S. Conery: Parallelism in AI Programs. IJCAI 1985: 53-56
c6		Bruce W. Porter, Dennis F. Kibler: A Comparison of Analytic and Experimental Goal Regression for Machine Learning. IJCAI 1985: 555-559
	1984
c5		Bruce W. Porter, Dennis F. Kibler: Learning Operator Transformations. AAAI 1984: 278-282
	1983
c4		Dennis F. Kibler, Bruce W. Porter: Episodic Learning. AAAI 1983: 191-196
c3		Dennis F. Kibler, Bruce W. Porter: Perturbation: A Means for Guiding Generalization. IJCAI 1983: 415-418
c2		John S. Conery, Dennis F. Kibler: AND Parallelism in Logic Programs. IJCAI 1983: 539-543
	1981
c1		Dennis F. Kibler, Paul Morris: Don't Be Stupid. IJCAI 1981: 345-347

Coauthor Index

1	David W. Aha (David William Aha)	[j5] [j4] [c11] [c10]
2	Marc K. Albert	[j5] [j4]
3	Pierre Baldi	[j13] [c22]
4	Stephen D. Bay	[j11]
5	Bob Y. Chan	[j14]
6	John S. Conery	[j1] [c7] [c2]
7	Piew Datta	[c20] [c19] [c17] [c16]
8	Rogers P. Hall	[j2]
9	Steven E. Hampson (Steven Hampson)	[j13] [c22] [j9]
10	Yuh-Jyh Hu	[j12] [c21] [c18]
11	Pat Langley	[c9]
12	Calvin McLaughlin	[j12]
13	Paul Morris	[c1]
14	Michael J. Pazzani	[j11] [j6]
15	Bruce W. Porter	[j3] [c6] [c5] [c4] [c3]
16	David Ruby	[j7] [c15] [c14] [c12]
17	David Rudy	[c13]
18	Suzanne B. Sandmeyer	[j12] [c22] [c21]
19	Padhraic Smyth	[j11]

Colors in the list of coauthors

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