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EC
2008
153views ECommerce» more  EC 2008»
13 years 7 months ago
On Complexity of Optimal Recombination for Binary Representations of Solutions
We consider an optimization problem of finding the best possible offspring as a result of a recombination operator in an evolutionary algorithm, given two parent solutions. The op...
Anton V. Eremeev
NIPS
2003
13 years 8 months ago
Linear Program Approximations for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
Milos Hauskrecht, Branislav Kveton
VLSID
2007
IEEE
94views VLSI» more  VLSID 2007»
14 years 7 months ago
A Reduced Complexity Algorithm for Minimizing N-Detect Tests
? We give a new recursive rounding linear programming (LP) solution to the problem of N-detect test minimzation. This is a polynomialtime solution that closely approximates the exa...
Kalyana R. Kantipudi, Vishwani D. Agrawal
ENTCS
2008
146views more  ENTCS 2008»
13 years 7 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith
JMLR
2006
125views more  JMLR 2006»
13 years 7 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss