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Nicholas S. Flann

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2008
16EEArthur W. Mahoney, Brian G. Smith, Nicholas S. Flann, Gregory J. Podgorski: Discovering novel cancer therapies: A computational modeling and search approach. CIBCB 2008: 233-240
2007
15EEGarrett Dean Winward, Nicholas S. Flann: Coordination of multiple vehicles for area coverage tasks. IROS 2007: 1351-1356
2005
14EENicholas S. Flann, Jing Hu, Mayank Bansal, Vinay Patel, Gregory J. Podgorski: Biological Development of Cell Patterns: Characterizing the Space of Cell Chemistry Genetic Regulatory Networks. ECAL 2005: 57-66
1998
13EEHao Chen, Nicholas S. Flann, Daniel W. Watson: Parallel Genetic Simulated Annealing: A Massively Parallel SIMD Algorithm. IEEE Trans. Parallel Distrib. Syst. 9(2): 126-136 (1998)
1997
12 Thomas G. Dietterich, Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. Machine Learning 28(2-3): 169-210 (1997)
1996
11 Ranjit A. Henry, Nicholas S. Flann, Daniel W. Watson: A Massively Parallel SIMD Algorithm for Combinatorial Optimization. ICPP, Vol. 2 1996: 46-49
1995
10 Thomas G. Dietterich, Nicholas S. Flann: Explanation-Based Learning and Reinforcement Learning: A Unified View. ICML 1995: 176-184
1994
9 Hao Chen, Nicholas S. Flann: Parallel Simulated Annealing and Genetic Algorithms: a Space of Hybrid Methods. PPSN 1994: 428-438
1993
8EENicholas S. Flann: Recognition-Based Segmentation of On-Line Cursive Handwriting. NIPS 1993: 777-784
1990
7 Nicholas S. Flann: Applying Abstraction and Simplification to Learn in Intractable Domains. ML 1990: 277-285
1989
6 Nicholas S. Flann: Learning Appropriate Abstractions for Planning in Formation Problems. ML 1989: 235-239
5 Nicholas S. Flann, Thomas G. Dietterich: A Study of Explanation-Based Methods for Inductive Learning. Machine Learning 4: 187-226 (1989)
1988
4 Caroline N. Koff, Nicholas S. Flann, Thomas G. Dietterich: An Efficient ATMS for Equivalence Relations. AAAI 1988: 182-187
1987
3 Nicholas S. Flann, Thomas G. Dietterich, Dan R. Corpon: Forward Chaining Logic Programming with the ATMS. AAAI 1987: 24-29
1986
2 Nicholas S. Flann, Thomas G. Dietterich: Selecting Appropriate Representations for Learning from Examples. AAAI 1986: 460-466
1 Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins: News and Notes. Machine Learning 1(2): 227-242 (1986)

Coauthor Index

1Mayank Bansal [14]
2Hao Chen [9] [13]
3Dan R. Corpon [3]
4Thomas G. Dietterich [1] [2] [3] [4] [5] [10] [12]
5Ranjit A. Henry [11]
6Jing Hu [14]
7Caroline N. Koff [4]
8Arthur W. Mahoney [16]
9Vinay Patel [14]
10Gregory J. Podgorski [14] [16]
11Brian G. Smith [16]
12Daniel W. Watson [11] [13]
13David C. Wilkins [1]
14Garrett Dean Winward [15]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)