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Dennis F. Kibler Vis

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*2005
35EEBob 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)
31EEStephen 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
29EEDennis 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
10EEDennis 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

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)