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01/03/2023
Linear chain conditional random fields, hidden Markov models, and related classifiers
Practitioners use Hidden Markov Models (HMMs) in different problems for ...
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01/03/2022
Deriving discriminative classifiers from generative models
We deal with Bayesian generative and discriminative classifiers. Given a...
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11/14/2021
On equivalence between linear-chain conditional random fields and hidden Markov chains
Practitioners successfully use hidden Markov chains (HMCs) in different ...
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11/14/2021
Improving usual Naive Bayes classifier performances with Neural Naive Bayes based models
Naive Bayes is a popular probabilistic model appreciated for its simplic...
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02/17/2021
Introducing the Hidden Neural Markov Chain framework
Nowadays, neural network models achieve state-of-the-art results in many...
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02/17/2021
Highly Fast Text Segmentation With Pairwise Markov Chains
Natural Language Processing (NLP) models' current trend consists of usin...
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12/25/2020
Using the Naive Bayes as a discriminative classifier
For classification tasks, probabilistic models can be categorized into t...
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05/21/2020