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pro vyhledávání: '"Monfrini, Emmanuel"'
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 literature as different and somewhat concurrent models. We propose two c
Externí odkaz:
http://arxiv.org/abs/2301.01293
We deal with Bayesian generative and discriminative classifiers. Given a model distribution $p(x, y)$, with the observation $y$ and the target $x$, one computes generative classifiers by firstly considering $p(x, y)$ and then using the Bayes rule to
Externí odkaz:
http://arxiv.org/abs/2201.00844
Practitioners successfully use hidden Markov chains (HMCs) in different problems for about sixty years. HMCs belong to the family of generative models and they are often compared to discriminative models, like conditional random fields (CRFs). Author
Externí odkaz:
http://arxiv.org/abs/2111.07376
Naive Bayes is a popular probabilistic model appreciated for its simplicity and interpretability. However, the usual form of the related classifier suffers from two major problems. First, as caring about the observations' law, it cannot consider comp
Externí odkaz:
http://arxiv.org/abs/2111.07307
Nowadays, neural network models achieve state-of-the-art results in many areas as computer vision or speech processing. For sequential data, especially for Natural Language Processing (NLP) tasks, Recurrent Neural Networks (RNNs) and their extensions
Externí odkaz:
http://arxiv.org/abs/2102.11038
Natural Language Processing (NLP) models' current trend consists of using increasingly more extra-data to build the best models as possible. It implies more expensive computational costs and training time, difficulties for deployment, and worries abo
Externí odkaz:
http://arxiv.org/abs/2102.11037
For classification tasks, probabilistic models can be categorized into two disjoint classes: generative or discriminative. It depends on the posterior probability computation of the label $x$ given the observation $y$, $p(x | y)$. On the one hand, ge
Externí odkaz:
http://arxiv.org/abs/2012.13572
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) model associated with classic Forward-Backward probabilities cannot ha
Externí odkaz:
http://arxiv.org/abs/2005.10629
Publikováno v:
In Computational Statistics and Data Analysis June 2021 158
Autor:
Azeraf, Elie1 (AUTHOR), Monfrini, Emmanuel2 (AUTHOR), Pieczynski, Wojciech2 (AUTHOR) wojciech.pieczynski@telecom-sudparis.eu
Publikováno v:
Algorithms. Mar2023, Vol. 16 Issue 3, p173. 11p.