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17 years 4 months ago
Foundations of Constraint Satisfaction
"Constraint satisfaction is a general problem in which the goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many a...
Edward Tsang
ICASSP
2008
IEEE
16 years 26 days ago
Distributed Kalman filtering based on quantized innovations
We consider state estimation of a Markov stochastic process using an ad hoc wireless sensor network (WSN) based on noisy linear observations. Due to power and bandwidth constraint...
Eric J. Msechu, Alejandro Ribeiro, Stergios I. Rou...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
16 years 17 days ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
FPGA
2008
ACM
191views FPGA» more  FPGA 2008»
15 years 8 months ago
A hardware framework for the fast generation of multiple long-period random number streams
Stochastic simulations and other scientific applications that depend on random numbers are increasingly implemented in a parallelized manner in programmable logic. High-quality ps...
Ishaan L. Dalal, Deian Stefan
IJCAI
2001
15 years 7 months ago
Symbolic Dynamic Programming for First-Order MDPs
We present a dynamic programming approach for the solution of first-order Markov decisions processes. This technique uses an MDP whose dynamics is represented in a variant of the ...
Craig Boutilier, Raymond Reiter, Bob Price