Clare Bates Congdon
Clare Bates Congdon
Tuntematon yhteys
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Common features of microRNA target prediction tools
SM Peterson, JA Thompson, ML Ufkin, P Sathyanarayana, L Liaw, ...
Frontiers in genetics 5, 23, 2014
General video game playing
J Levine, C Bates Congdon, M Ebner, G Kendall, SM Lucas, ...
Dagstuhl Publishing, 2013
Soar User's Manual.
JE Laird
Carmel versus flakey: A comparison of two winners
C Congdon, M Huber, D Kortenkamp, K Konolige, K Myers, A Saffiotti, ...
AI Magazine 14 (1), 49-49, 1993
The Soar User’s Manual Version 9.5. 0
JE Laird, CB Congdon
The Regents of the University of Michigan, 2015
A comparison of genetic algorithms and other machine learning systems of a complex classification task from common disease research
CB Congdon
University of Michigan, 1995
Bioinformatic prediction of arthropod/nematode-like peptides in non-arthropod, non-nematode members of the Ecdysozoa
AE Christie, DH Nolan, ZA Garcia, MD McCoole, SM Harmon, ...
General and comparative endocrinology 170 (3), 480-486, 2011
The Soar User’s Manual Version 9.6. 0
JE Laird, CB Congdon, M Assanie, N Derbinsky, J Xu
Realm: A rule-based evolutionary computation agent that learns to play mario
S Bojarski, CB Congdon
Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010
Preliminary results for GAMI: A genetic algorithms approach to motif inference
CB Congdon, CW Fizer, NW Smith, HR Gaskins, J Aman, GM Nava, ...
2005 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2005
Gaphyl: An evolutionary algorithms approach for the study of natural evolution
CB Congdon
Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002
Artificial and computational intelligence in games (dagstuhl seminar 12191)
SM Lucas, M Mateas, M Preuss, P Spronck, J Togelius
Dagstuhl Reports 2 (5), 2012
An evaluation of information content as a metric for the inference of putative conserved noncoding regions in DNA sequences using a genetic algorithms approach
CB Congdon, J Aman, GM Nava, HR Gaskins, C Mattingly
IEEE/ACM transactions on computational biology and bioinformatics 5 (1), 1-14, 2008
Agent Smith: Towards an evolutionary rule-based agent for interactive dynamic games
R Small, CB Congdon
2009 IEEE Congress on Evolutionary Computation, 660-666, 2009
The use of robots in the undergraduate curriculum: experience reports
M Goldweber, C Congdon, B Fagin, D Hwang, F Klassner
Proceedings of the thirty-second SIGCSE technical symposium on Computer …, 2001
Soar user's manual: version 4.0
JE Laird, CB Congdon
Intelligent Systems Laboratory, Xerox Palo Alto Research Center, 1986
Phylogenetic trees using evolutionary search: Initial progress in extending gaphyl to work with genetic data
CB Congdon, KJ Septor
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 1, 320-326, 2003
Learning and game AI
H Muñoz-Avila, C Bauckhage, M Bida, CB Congdon, G Kendall
Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2013
Costly information and the evolution of self-organization in a small, complex economy
J Wilson, J Hill, M Kersula, CL Wilson, L Whitsel, L Yan, J Acheson, ...
Journal of Economic Behavior & Organization 90, S76-S93, 2013
Classification of epidemiological data: a comparison of genetic algorithm and decision tree approaches
CB Congdon
Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No …, 2000
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Artikkelit 1–20