Discriminative matrix-variate restricted Boltzmann machine classification model
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DOI: 10.1007/s11276-019-02234-w
Abstract: Matrix-variate Restricted Boltzmann Machine (MVRBM), a variant of Restricted Boltzmann Machine, has demonstrated excellent capacity of modelling matrix variable. However, MVRBM is still an unsupervised generative model, and is usually used to feature extraction or… read more here.
Keywords: classification; restricted boltzmann; matrix variate; model ... See more keywords
Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2018.1429275
Abstract: ABSTRACT It has been proposed that complex populations, such as those that arise in genomics studies, may exhibit dependencies among observations as well as among variables. This gives rise to the challenging problem of analyzing… read more here.
Keywords: dependence; covariance estimation; matrix variate; mean covariance ... See more keywords
A graphical model for skewed matrix-variate non-randomly missing data.
Sign Up to like & getrecommendations! Published in 2018 at "Biostatistics"
DOI: 10.1093/biostatistics/kxy056
Abstract: Epidemiological studies on periodontal disease (PD) collect relevant bio-markers, such as the clinical attachment level (CAL) and the probed pocket depth (PPD), at pre-specified tooth sites clustered within a subject's mouth, along with various other… read more here.
Keywords: randomly missing; non randomly; model; matrix variate ... See more keywords
Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs
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DOI: 10.1109/tsipn.2022.3202035
Abstract: Recent advances of kernel regression assume that target signals lie over a feature graph such that their values can be predicted with the assistance of the graph learned from training data. In this article, we… read more here.
Keywords: regression; kernel regression; graph; matrix variate ... See more keywords
Entropy Optimization, Maxwell–Boltzmann, and Rayleigh Distributions
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DOI: 10.3390/e23060754
Abstract: In physics, communication theory, engineering, statistics, and other areas, one of the methods of deriving distributions is the optimization of an appropriate measure of entropy under relevant constraints. In this paper, it is shown that… read more here.
Keywords: maxwell boltzmann; optimization; matrix variate; boltzmann rayleigh ... See more keywords