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» SNPs Problems, Complexity, and Algorithms
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132
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CIE
2008
Springer
15 years 5 months ago
Deterministic Graphical Games Revisited
We revisit the deterministic graphical games of Washburn. A deterministic graphical game can be described as a simple stochastic game (a notion due to Anne Condon), except that we ...
Daniel Andersson, Kristoffer Arnsfelt Hansen, Pete...
143
Voted
JAIR
2002
134views more  JAIR 2002»
15 years 3 months ago
Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video
We develop, analyze, and evaluate a novel, supervised, specific-to-general learner for a simple temporal logic and use the resulting algorithm to learn visual event definitions fr...
Alan Fern, Robert Givan, Jeffrey Mark Siskind
109
Voted
SIGACT
2010
74views more  SIGACT 2010»
15 years 2 months ago
Typically-correct derandomization
A fundamental question in complexity theory is whether every randomized polynomial time algorithm can be simulated by a deterministic polynomial time algorithm (that is, whether B...
Ronen Shaltiel
123
Voted
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 7 months ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg
132
Voted
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 9 months ago
Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...
Christian Spieth, Felix Streichert, Nora Speer, An...