85 search results - page 2 / 17 » The Pareto-Following Variation Operator as an alternative ap... |
IJCV
2011
12 years 8 months ago
2011
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniļ...
ICONIP
2007
13 years 6 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
JMLR
2010
12 years 11 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
NN
2002
Springer
13 years 4 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
We show how and why using genetic operators that are applied with probabilities that depend on the ļ¬tness rank of a genotype or phenotype oļ¬ers a robust alternative to the Sim...