Yung Yi

Adiabatic Persistent Contrastive Divergence Learning

2016 · arXiv (Cornell University)

This paper studies the problem of parameter learning in probabilistic graphical models having latent variables, where the standard approach is the expectation maximization algorithm alternating expectation (E) and maximization (M) steps. However, both E and …