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Dennis F. Kibler :
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Michael J. Pazzani , Dennis F. Kibler The Utility of Knowledge in Inductive Learning. [Citation Graph (2, 0)][DBLP ] Machine Learning, 1992, v:9, n:, pp:57-94 [Journal ] Yuh-Jyh Hu , Dennis F. Kibler Generation of Attributes for Learning Algorithms. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, Vol. 1, 1996, pp:806-811 [Conf ] Piew Datta , Dennis F. Kibler Symbolic Nearest Mean Classifiers. [Citation Graph (0, 0)][DBLP ] AAAI/IAAI, 1997, pp:82-87 [Conf ] Dennis F. Kibler , Bruce W. Porter Episodic Learning. [Citation Graph (0, 0)][DBLP ] AAAI, 1983, pp:191-196 [Conf ] Bruce W. Porter , Dennis F. Kibler Learning Operator Transformations. [Citation Graph (0, 0)][DBLP ] AAAI, 1984, pp:278-282 [Conf ] David Ruby , Dennis F. Kibler SteppingStone: An Empirical and Analytical Evaluation. [Citation Graph (0, 0)][DBLP ] AAAI, 1991, pp:527-532 [Conf ] Dennis F. Kibler , Pat Langley Machine Learning as an Experimental Science. [Citation Graph (0, 0)][DBLP ] EWSL, 1988, pp:81-92 [Conf ] Dennis F. Kibler , David W. Aha Comparing Instance-Averaging with Instance-Filtering Learning Algorithms. [Citation Graph (0, 0)][DBLP ] EWSL, 1988, pp:63-79 [Conf ] Dennis F. Kibler The Qualitative Character of Intelligence. [Citation Graph (0, 0)][DBLP ] ICDE, 1987, pp:289-290 [Conf ] Piew Datta , Dennis F. Kibler Concept Sharing: A Means to Improve Multi-Concept Learning. [Citation Graph (0, 0)][DBLP ] ICML, 1993, pp:89-96 [Conf ] Piew Datta , Dennis F. Kibler Learning Prototypical Concept Descriptions. [Citation Graph (0, 0)][DBLP ] ICML, 1995, pp:158-166 [Conf ] Piew Datta , Dennis F. Kibler Learning Symbolic Prototypes. [Citation Graph (0, 0)][DBLP ] ICML, 1997, pp:75-82 [Conf ] Yuh-Jyh Hu , Suzanne B. Sandmeyer , Dennis F. Kibler Detecting Motifs from Sequences. [Citation Graph (0, 0)][DBLP ] ICML, 1999, pp:181-190 [Conf ] David Ruby , Dennis F. Kibler Learning Episodes for Optimization. [Citation Graph (0, 0)][DBLP ] ML, 1992, pp:379-384 [Conf ] David Rudy , Dennis F. Kibler Learning to Plan in Complex Domains. [Citation Graph (0, 0)][DBLP ] ML, 1989, pp:180-182 [Conf ] David W. Aha , Dennis F. Kibler Noise-Tolerant Instance-Based Learning Algorithms. [Citation Graph (0, 0)][DBLP ] IJCAI, 1989, pp:794-799 [Conf ] John S. Conery , Dennis F. Kibler AND Parallelism in Logic Programs. [Citation Graph (0, 0)][DBLP ] IJCAI, 1983, pp:539-543 [Conf ] Dennis F. Kibler , John S. Conery Parallelism in AI Programs. [Citation Graph (0, 0)][DBLP ] IJCAI, 1985, pp:53-56 [Conf ] Dennis F. Kibler , Paul Morris Don't Be Stupid. [Citation Graph (0, 0)][DBLP ] IJCAI, 1981, pp:345-347 [Conf ] Dennis F. Kibler , Bruce W. Porter Perturbation: A Means for Guiding Generalization. [Citation Graph (0, 0)][DBLP ] IJCAI, 1983, pp:415-418 [Conf ] Bruce W. Porter , Dennis F. Kibler A Comparison of Analytic and Experimental Goal Regression for Machine Learning. [Citation Graph (0, 0)][DBLP ] IJCAI, 1985, pp:555-559 [Conf ] David Ruby , Dennis F. Kibler Learning Subgoal Sequences for Planning. [Citation Graph (0, 0)][DBLP ] IJCAI, 1989, pp:609-614 [Conf ] Steven Hampson , Pierre Baldi , Dennis F. Kibler , Suzanne B. Sandmeyer Analysis of Yeast's ORF Upstream Regions by Parallel Processing, Microarrays, and Computational Methods. [Citation Graph (0, 0)][DBLP ] ISMB, 2000, pp:190-201 [Conf ] Dennis F. Kibler Paul R. Cohen's Empirical Methods for Artificial Intelligence. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 1999, v:113, n:1-2, pp:281-284 [Journal ] Dennis F. Kibler A Review of Machine Learning. [Citation Graph (0, 0)][DBLP ] AI Magazine, 1998, v:19, n:1, pp:136- [Journal ] Steven Hampson , Dennis F. Kibler , Pierre Baldi Distribution patterns of over-represented k-mers in non-coding yeast DNA. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2002, v:18, n:4, pp:513-528 [Journal ] Yuh-Jyh Hu , Suzanne B. Sandmeyer , Calvin McLaughlin , Dennis F. Kibler Combinatorial motif analysis and hypothesis generation on a genomic scale. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2000, v:16, n:3, pp:222-232 [Journal ] Bob Y. Chan , Dennis F. Kibler Using hexamers to predict cis-regulatory motifs in Drosophila. [Citation Graph (0, 0)][DBLP ] BMC Bioinformatics, 2005, v:6, n:, pp:262- [Journal ] Dennis F. Kibler , David W. Aha , Marc K. Albert Instance-based prediction of real-valued attributes. [Citation Graph (0, 0)][DBLP ] Computational Intelligence, 1989, v:5, n:, pp:51-57 [Journal ] David Ruby , Dennis F. Kibler Learning Steppingstones for Problem Solving. [Citation Graph (0, 0)][DBLP ] IJPRAI, 1993, v:7, n:3, pp:527-540 [Journal ] David W. Aha , Dennis F. Kibler , Marc K. Albert Instance-Based Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1991, v:6, n:, pp:37-66 [Journal ] Steven Hampson , Dennis F. Kibler Minimum Generalization Via Reflection: A Fast Linear Threshold Learner. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1999, v:37, n:1, pp:51-73 [Journal ] Bruce W. Porter , Dennis F. Kibler Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1986, v:1, n:3, pp:249-286 [Journal ] John S. Conery , Dennis F. Kibler AND Parallelism and Nondeterminism in Logic Programs. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1985, v:3, n:1, pp:43-70 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] SIGKDD Explorations, 2000, v:2, n:2, pp:81-85 [Journal ] Search in 0.003secs, Finished in 0.306secs