424 search results - page 18 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
STOC
2009
ACM
14 years 8 months ago
2009
ACM
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
CDC
2009
IEEE
13 years 10 months ago
2009
IEEE
— This paper presents a novel swarm approximate dynamic programming method (swarm-ADP) for parameter optimization of PSO systems, from the perspective of optimal control. Based o...
HEURISTICS
2008
13 years 7 months ago
2008
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
ACL
2006
13 years 9 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...