A left-to-right algorithm for likelihood estimation in gamma-poisson factor analysis

J Capdevila, J Cerquides, J Torres, F Petitjean… - Machine Learning and …, 2019 - Springer
Computing the probability of unseen documents is a natural evaluation task in topic
modeling. Previous work has addressed this problem for the well-known Latent Dirichlet …

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A exact data augmentation–Models, M Carlo - core.ac.uk
Résumé De nombreuses tâches d'apprentissage statistique et de traitement du signal/de
l'image peuvent être formulées comme des problèmes d'inférence statistique. L'objet à …

Asymptotically exact data augmentation: models and Monte Carlo sampling with applications to Bayesian inference

M Vono - 2020 - theses.hal.science
Numerous machine learning and signal/image processing tasks can be formulated as
statistical inference problems. As an archetypal example, recommendation systems rely on …

Contributions to probabilistic non-negative matrix factorization-Maximum marginal likelihood estimation and Markovian temporal models

L Filstroff - 2019 - theses.hal.science
Non-negative matrix factorization (NMF) has become a popular dimensionality
reductiontechnique, and has found applications in many different fields, such as audio …

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ML FILSTROFF - core.ac.uk
Résumé La factorisation en matrices non-négatives (NMF, de l'anglais non-negative matrix
factorization) est aujourd'hui l'une des techniques de réduction de la dimensionnalité les …

Exploring the topical structure of short text through probability models: from tasks to fundamentals

J Capdevila - 2019 - digital.csic.es
Recent technological advances have radically changed the way we communicate. Today's
communication has become ubiquitous and it has fostered the need for information that is …

Exploring the topical structure of short text through probability models: from tasks to fundamentals

J Capdevila Pujol - 2019 - upcommons.upc.edu
Recent technological advances have radically changed the way we communicate. Today's
communication has become ubiquitous and it has fostered the need for information that is …