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» Nonlinear Stochastic Optimization by the Monte-Carlo Method
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ICCAD
2009
IEEE
117views Hardware» more  ICCAD 2009»
13 years 5 months ago
Binning optimization based on SSTA for transparently-latched circuits
With increasing process variation, binning has become an important technique to improve the values of fabricated chips, especially in high performance microprocessors where transpa...
Min Gong, Hai Zhou, Jun Tao, Xuan Zeng
SDM
2010
SIAM
151views Data Mining» more  SDM 2010»
13 years 9 months ago
Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs
The high computational cost of nonlinear support vector machines has limited their usability for large-scale problems. We propose two novel stochastic algorithms to tackle this pr...
Hua Ouyang, Alexander Gray
AAMAS
2010
Springer
13 years 7 months ago
Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
ECCV
2002
Springer
14 years 9 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu
AUTOMATICA
2006
183views more  AUTOMATICA 2006»
13 years 7 months ago
Bank management via stochastic optimal control
This paper examines a problem related to the optimal risk management of banks in a stochastic dynamic setting. In particular, we minimize7 market and capital adequacy risk that in...
Janine Mukuddem-Petersen, Mark Adam Petersen