212 search results - page 1 / 43 » A Gibbs distribution that learns from GA dynamics |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
IEEECIT
2010
IEEE
13 years 3 months ago
2010
IEEE
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
E-commerce has transformed the way firms develop their pricing strategies, producing shift away from fixed pricing to dynamic pricing. In this paper, we use two different Estim...
AAAI
2011
12 years 5 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...