Sciweavers

25 search results - page 1 / 5
» Global random optimization by simultaneous perturbation stoc...
Sort
View
WSC
2001
13 years 6 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
GECCO
2010
Springer
239views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking SPSA on BBOB-2010 noiseless function testbed
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noiseless testbed. SPSA is a stochastic gradient approximation strate...
Steffen Finck, Hans-Georg Beyer
GECCO
2010
Springer
227views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking SPSA on BBOB-2010 noisy function testbed
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noisy testbed. SPSA is a stochastic gradient approximation strategy w...
Steffen Finck, Hans-Georg Beyer
ECCV
2008
Springer
14 years 6 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher