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AIPS
2008
14 years 13 days ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
ICALT
2007
IEEE
14 years 4 months ago
Automatic Evaluation of Spatial Representations for Complex Robotic Arms Manipulations
This paper describes how a knowledge model allows training software to evaluate spatial cognitive maps and provide tailored assistance.
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...
AII
1989
14 years 2 months ago
Inductive Inference, DFAs, and Computational Complexity
This paper surveys recent results concerning the inference of deterministic finite automata (DFAs). The results discussed determine the extent to which DFAs can be feasibly inferr...
Leonard Pitt
ISMB
1994
13 years 11 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
ACRI
2006
Springer
14 years 4 months ago
CA Simulation of Biological Evolution in Genetic Hyperspace
Abstract. Realistic simulation of biological evolution by necessity requires simplification and reduction in the dimensionality of the corresponding dynamic system. Even when this...
Michael A. Saum, Sergey Gavrilets