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APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
15 years 3 months ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
Evdokia Nikolova
IPL
2007
71views more  IPL 2007»
15 years 1 months ago
A short proof of optimality for the MIN cache replacement algorithm
The MIN algorithm is an offline strategy for deciding which item to replace when writing a new item to a cache. Its optimality was first established by Mattson, Gecsei, Slutz, a...
Benjamin Van Roy
TASLP
2010
84views more  TASLP 2010»
14 years 8 months ago
Improving Speech Intelligibility in Noise Using Environment-Optimized Algorithms
While most speech enhancement algorithms improve speech quality, they may not improve speech intelligibility in noise. This paper focuses on the development of an algorithm that ca...
Gibak Kim, Philipos C. Loizou
AAAI
1998
15 years 3 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
SIAMJO
2010
128views more  SIAMJO 2010»
14 years 8 months ago
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
We propose a Newton-CG primal proximal point algorithm for solving large scale log-determinant optimization problems. Our algorithm employs the essential ideas of the proximal poi...
Chengjing Wang, Defeng Sun, Kim-Chuan Toh