Dennis F. Kibler

	2005
35		Bob Y. Chan, Dennis F. Kibler: Using hexamers to predict cis-regulatory motifs in Drosophila. BMC Bioinformatics 6: 262 (2005)
	2002
34		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
33		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
32		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)
31		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)
	1999
30		Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler: Detecting Motifs from Sequences. ICML 1999: 181-190
29		Dennis F. Kibler: Paul R. Cohen's Empirical Methods for Artificial Intelligence. Artif. Intell. 113(1-2): 281-284 (1999)
28		Steven Hampson, Dennis F. Kibler: Minimum Generalization Via Reflection: A Fast Linear Threshold Learner. Machine Learning 37(1): 51-73 (1999)
	1998
27		Dennis F. Kibler: A Review of Machine Learning. AI Magazine 19(1): 136 (1998)
	1997
26		Piew Datta, Dennis F. Kibler: Symbolic Nearest Mean Classifiers. AAAI/IAAI 1997: 82-87
25		Piew Datta, Dennis F. Kibler: Learning Symbolic Prototypes. ICML 1997: 75-82
	1996
24		Yuh-Jyh Hu, Dennis F. Kibler: Generation of Attributes for Learning Algorithms. AAAI/IAAI, Vol. 1 1996: 806-811
	1995
23		Piew Datta, Dennis F. Kibler: Learning Prototypical Concept Descriptions. ICML 1995: 158-166
	1993
22		Piew Datta, Dennis F. Kibler: Concept Sharing: A Means to Improve Multi-Concept Learning. ICML 1993: 89-96
21		David Ruby, Dennis F. Kibler: Learning Steppingstones for Problem Solving. IJPRAI 7(3): 527-540 (1993)
	1992
20		David Ruby, Dennis F. Kibler: Learning Episodes for Optimization. ML 1992: 379-384
19		Michael J. Pazzani, Dennis F. Kibler: The Utility of Knowledge in Inductive Learning. Machine Learning 9: 57-94 (1992)
	1991
18		David Ruby, Dennis F. Kibler: SteppingStone: An Empirical and Analytical Evaluation. AAAI 1991: 527-532
17		David W. Aha, Dennis F. Kibler, Marc K. Albert: Instance-Based Learning Algorithms. Machine Learning 6: 37-66 (1991)
	1989
16		David Ruby, Dennis F. Kibler: Learning Subgoal Sequences for Planning. IJCAI 1989: 609-614
15		David W. Aha, Dennis F. Kibler: Noise-Tolerant Instance-Based Learning Algorithms. IJCAI 1989: 794-799
14		David Rudy, Dennis F. Kibler: Learning to Plan in Complex Domains. ML 1989: 180-182
13		Dennis F. Kibler, David W. Aha, Marc K. Albert: Instance-based prediction of real-valued attributes. Computational Intelligence 5: 51-57 (1989)
	1988
12		Dennis F. Kibler, David W. Aha: Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. EWSL 1988: 63-79
11		Dennis F. Kibler, Pat Langley: Machine Learning as an Experimental Science. EWSL 1988: 81-92
	1987
10		Dennis F. Kibler: The Qualitative Character of Intelligence. ICDE 1987: 289-290
	1986
9		Bruce W. Porter, Dennis F. Kibler: Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics. Machine Learning 1(3): 249-286 (1986)
	1985
8		Dennis F. Kibler, John S. Conery: Parallelism in AI Programs. IJCAI 1985: 53-56
7		Bruce W. Porter, Dennis F. Kibler: A Comparison of Analytic and Experimental Goal Regression for Machine Learning. IJCAI 1985: 555-559
6		John S. Conery, Dennis F. Kibler: AND Parallelism and Nondeterminism in Logic Programs. New Generation Comput. 3(1): 43-70 (1985)
	1984
5		Bruce W. Porter, Dennis F. Kibler: Learning Operator Transformations. AAAI 1984: 278-282
	1983
4		Dennis F. Kibler, Bruce W. Porter: Episodic Learning. AAAI 1983: 191-196
3		Dennis F. Kibler, Bruce W. Porter: Perturbation: A Means for Guiding Generalization. IJCAI 1983: 415-418
2		John S. Conery, Dennis F. Kibler: AND Parallelism in Logic Programs. IJCAI 1983: 539-543
	1981
1		Dennis F. Kibler, Paul Morris: Don't Be Stupid. IJCAI 1981: 345-347

Coauthor Index

1	David W. Aha	[12] [13] [15] [17]
2	Marc K. Albert	[13] [17]
3	Pierre Baldi	[33] [34]
4	Stephen D. Bay	[31]
5	Bob Y. Chan	[35]
6	John S. Conery	[2] [6] [8]
7	Piew Datta	[22] [23] [25] [26]
8	Steven E. Hampson (Steven Hampson)	[28] [33] [34]
9	Yuh-Jyh Hu	[24] [30] [32]
10	Pat Langley	[11]
11	Calvin McLaughlin	[32]
12	Paul Morris	[1]
13	Michael J. Pazzani	[19] [31]
14	Bruce W. Porter	[3] [4] [5] [7] [9]
15	David Ruby	[16] [18] [20] [21]
16	David Rudy	[14]
17	Suzanne B. Sandmeyer	[30] [32] [33]
18	Padhraic Smyth	[31]

Colors in the list of coauthors