Approximations of conditional probability density functions in Lebesgue
spaces via mixture of experts models

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Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models

4 December 2020

TrungTin Nguyen

Faicel Chamroukhi

Geoffrey J. McLachlan

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Papers citing "Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models"

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Title
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures Tuan Thai TrungTin Nguyen Dat Do Nhat Ho Christopher Drovandi 171 0 0 19 May 2025
Approximation by finite mixtures of continuous density functions that vanish at infinity TrungTin Nguyen Hien Nguyen Faicel Chamroukhi Geoffrey J. McLachlan 54 74 0 01 Mar 2019
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds Antoine Deleforge F. Forbes Radu Horaud 79 92 0 11 Feb 2014
Joint segmentation of multivariate time series with hidden process regression for human activity recognition Faicel Chamroukhi S. Mohammed D. Trabelsi L. Oukhellou Y. Amirat 75 81 0 25 Dec 2013
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables Antoine Deleforge F. Forbes Radu Horaud 53 84 0 10 Aug 2013
Model-based clustering via linear cluster-weighted models S. Ingrassia S. Minotti A. Punzo 92 88 0 18 Jun 2012