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» The Equivalence of Sampling and Searching
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NLP
2000
13 years 11 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
APBC
2004
154views Bioinformatics» more  APBC 2004»
13 years 9 months ago
Dispensation Order Generation for Pyrosequencing
This article describes a dispensation order generation algorithm for genotyping using the Pyrosequencing method. The input template of the algorithm is a slightly restricted regul...
Mats Carlsson, Nicolas Beldiceanu
JAMDS
2000
90views more  JAMDS 2000»
13 years 7 months ago
Stratified filtered sampling in stochastic optimization
We develop a methodology for evaluating a decision strategy generated by a stochastic optimization model. The methodology is based on a pilot study in which we estimate the distri...
Robert Rush, John M. Mulvey, John E. Mitchell, Tho...
CGF
2008
227views more  CGF 2008»
13 years 7 months ago
Dynamic Sampling and Rendering of Algebraic Point Set Surfaces
Algebraic Point Set Surfaces (APSS) define a smooth surface from a set of points using local moving least-squares (MLS) fitting of algebraic spheres. In this paper we first revisi...
Gaël Guennebaud, Marcel Germann, Markus H. Gr...
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
14 years 15 days ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Anne Auger, Dimo Brockhoff, Nikolaus Hansen