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NLP
2000
15 years 9 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
ICTAI
2010
IEEE
15 years 4 months ago
An Effective Multilevel Memetic Algorithm for Balanced Graph Partitioning
The balanced graph partitioning consists in dividing the vertices of an undirected graph into a given number of subsets of approximately equal size, such that the number of edges c...
Una Benlic, Jin-Kao Hao
IJSNET
2008
125views more  IJSNET 2008»
15 years 6 months ago
Minimum-cost sensor arrangement for achieving wanted coverage lifetime
: Suppose we need to watch a set of targets continuously for a required period of time, and suppose we choose any number of sensors from a fixed set of sensor types and place them ...
Jie Wang, Ning Zhong
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 6 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
ECCC
2010
86views more  ECCC 2010»
15 years 6 months ago
On Approximating the Entropy of Polynomial Mappings
We investigate the complexity of the following computational problem: Polynomial Entropy Approximation (PEA): Given a low-degree polynomial mapping p : Fn Fm , where F is a finite...
Zeev Dvir, Dan Gutfreund, Guy N. Rothblum, Salil P...