伯克利大学机器学习-7Hidden Markov models& graphical models

lstm Outline Introduction to Sequential Processes  Markov chains  Hidden Markov models Discrete-State HMMs  Inference: Filtering, smoothing, Viterbi, classification  Learning: EM algorithm Continuous-State HMMs  Linear state space models: Kalman filters  Nonlinear dynamical systems: Particle filters More on Graphical Models