2 papers
math.DS2024
Forecasting with Pairwise Gaussian Markov Models
Marc Escudier, Ikram Abdelkefi, Clément Fernandes +1
Pairwise Markov Models (PMMs) extend the wellknown Hidden Markov Models (HMMs). Being significantly more general, PMMs enable several types of processing, like Bayesian filtering o…
stat.ML2023
Linear chain conditional random fields, hidden Markov models, and related classifiers
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
Practitioners use Hidden Markov Models (HMMs) in different problems for about sixty years. Besides, Conditional Random Fields (CRFs) are an alternative to HMMs and appear in the li…