Browse Teach Curate

Hidden Markov Models in Statistical Time-Series Analysis

A latent-state model for sequential data in which an unobserved discrete state evolves as a Markov chain and each state emits observations from a state-specific distribution; inference recovers the hidden state path and estimates transition and emission parameters.

jeremy Video

Hidden Markov Model Mood Inference in Machine Learning

Hidden Markov Models (HMMs) represent a statistical framework within machine learning and natural language processing where unobserved "hidden states" generate sequences of observable data through em…