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WSC
2001
13 years 9 months ago
Monte Carlo simulation approach to stochastic programming
Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
Alexander Shapiro
CVPR
2009
IEEE
15 years 3 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li
EVOW
2001
Springer
14 years 12 days ago
An Evolutionary Algorithm with Stochastic Hill-Climbing for the Edge-Biconnectivity Augmentation Problem
Augmenting an existing network with additional links to achieve higher robustness and survivability plays an important role in network design. We consider the problem of augmenting...
Ivana Ljubic, Günther R. Raidl
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
14 years 1 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 7 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng