2914 search results - page 89 / 583 » Optimization by Stochastic Continuation |
149
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
117
Voted
GECCO
2010
Springer
15 years 7 months ago
2010
Springer
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...
126
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GECCO
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
133
Voted
CDC
2010
IEEE
14 years 10 months ago
2010
IEEE
Moment computation is essential to the analysis of stochastic kinetic models of biochemical reaction networks. It is often the case that the moment evolution, usually the first and...
107
Voted
CORR
2006
Springer
15 years 3 months ago
2006
Springer
Let X be a discrete random variable with support S and f : S S be a bijection. Then it is wellknown that the entropy of X is the same as the entropy of f(X). This entropy preserva...