| 2005 |
|---|
| 35 | EE | 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 | EE | 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 | EE | 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 | EE | 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 |
