Optimizing restricted Boltzmann machine learning by injecting Gaussian noise to likelihood gradient approximation

标题
Optimizing restricted Boltzmann machine learning by injecting Gaussian noise to likelihood gradient approximation
作者
关键词
Restricted Boltzmann machine, Deep belief network, Optimization, Regularization, Markov Chain Monte Carlo
出版物
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-02-02
DOI
10.1007/s10489-018-01400-5

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