Blogs about probabilistic inference and deep learning for neuroscience applications coming very soon...stay tuned!



1) Expectation Maximization Algorithm for Gaussian Miaxture Models
2) Expectation Maximization Algorithms for Hidden Markov Models
3) Forward-backward Algorithm
4) Viterbi Algorithm
5) Variational Approximation
6) Laplace Approximation
7) Expectation Propagation
8) Monte Carlo Approximation
9) Variational Expectation Maximization