Bengio, Y., Laufer, E., Alain, G. and Yosinski, J. (2014). Deep generative stochastic networks trainable by backprop. In International Conference on Machine Learning ...
We provide an analytical tool, variational Bayes SPT (vbSPT), based on a variational Bayesian treatment of a hidden Markov model (HMM) 5,6 that describes diffusing particles making memoryless jumps ...
Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...
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