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Dennis F. Kibler: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. Piew Datta, Dennis F. Kibler
    Symbolic Nearest Mean Classifiers. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:82-87 [Conf]
  4. Dennis F. Kibler, Bruce W. Porter
    Episodic Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 1983, pp:191-196 [Conf]
  5. Bruce W. Porter, Dennis F. Kibler
    Learning Operator Transformations. [Citation Graph (0, 0)][DBLP]
    AAAI, 1984, pp:278-282 [Conf]
  6. David Ruby, Dennis F. Kibler
    SteppingStone: An Empirical and Analytical Evaluation. [Citation Graph (0, 0)][DBLP]
    AAAI, 1991, pp:527-532 [Conf]
  7. Dennis F. Kibler, Pat Langley
    Machine Learning as an Experimental Science. [Citation Graph (0, 0)][DBLP]
    EWSL, 1988, pp:81-92 [Conf]
  8. 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]
  9. Dennis F. Kibler
    The Qualitative Character of Intelligence. [Citation Graph (0, 0)][DBLP]
    ICDE, 1987, pp:289-290 [Conf]
  10. 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]
  11. Piew Datta, Dennis F. Kibler
    Learning Prototypical Concept Descriptions. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:158-166 [Conf]
  12. Piew Datta, Dennis F. Kibler
    Learning Symbolic Prototypes. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:75-82 [Conf]
  13. Yuh-Jyh Hu, Suzanne B. Sandmeyer, Dennis F. Kibler
    Detecting Motifs from Sequences. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:181-190 [Conf]
  14. David Ruby, Dennis F. Kibler
    Learning Episodes for Optimization. [Citation Graph (0, 0)][DBLP]
    ML, 1992, pp:379-384 [Conf]
  15. David Rudy, Dennis F. Kibler
    Learning to Plan in Complex Domains. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:180-182 [Conf]
  16. David W. Aha, Dennis F. Kibler
    Noise-Tolerant Instance-Based Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:794-799 [Conf]
  17. John S. Conery, Dennis F. Kibler
    AND Parallelism in Logic Programs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:539-543 [Conf]
  18. Dennis F. Kibler, John S. Conery
    Parallelism in AI Programs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1985, pp:53-56 [Conf]
  19. Dennis F. Kibler, Paul Morris
    Don't Be Stupid. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1981, pp:345-347 [Conf]
  20. Dennis F. Kibler, Bruce W. Porter
    Perturbation: A Means for Guiding Generalization. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:415-418 [Conf]
  21. 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]
  22. David Ruby, Dennis F. Kibler
    Learning Subgoal Sequences for Planning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:609-614 [Conf]
  23. 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]
  24. 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]
  25. Dennis F. Kibler
    A Review of Machine Learning. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1998, v:19, n:1, pp:136- [Journal]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]

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