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COLING
2000
13 years 8 months ago
Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
Miles Osborne
UAI
2000
13 years 8 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
JCO
2006
83views more  JCO 2006»
13 years 7 months ago
Separating online scheduling algorithms with the relative worst order ratio
The relative worst order ratio is a measure for the quality of online algorithms. Unlike the competitive ratio, it compares algorithms directly without involving an optimal offline...
Leah Epstein, Lene M. Favrholdt, Jens S. Kohrt
MP
2007
95views more  MP 2007»
13 years 7 months ago
Smoothed analysis of integer programming
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
Heiko Röglin, Berthold Vöcking
MP
2010
116views more  MP 2010»
13 years 5 months ago
Separation algorithms for 0-1 knapsack polytopes
Valid inequalities for 0-1 knapsack polytopes often prove useful when tackling hard 0-1 Linear Programming problems. To generate such inequalities, one needs separation algorithms...
Konstantinos Kaparis, Adam N. Letchford