6 citations · 12 across the 10 of their papers we have counts for
Showing 2020 · stat.MLShow all
2 papers · 2 filters
stat.ML2020★ 2 cited
Using the Naive Bayes as a discriminative classifier
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
For classification tasks, probabilistic models can be categorized into two disjoint classes: generative or discriminative. It depends on the posterior probability computation of th…
stat.ML2020★ 6 cited
Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon +1
The ability to take into account the characteristics - also called features - of observations is essential in Natural Language Processing (NLP) problems. Hidden Markov Chain (HMC)…