Online Bayesian Learning With Natural Sequential Prior Distribution
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Year
: 2014DOI: 10.1109/TNNLS.2013.2250999
Keyword(s): belief networks,learning (artificial intelligence),matrix algebra,multilayer perceptrons,radial basis function networks,multilayer perceptrons,natural sequential prior distribution,observation model,online Bayesian learning,radial basis functions,three-layer perceptron,Bayesian learning,Fisher information,online learning,prior distribution,sequential Monte Carlo (SMC)
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Online Bayesian Learning With Natural Sequential Prior Distribution
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contributor author | Nakada, Yohei | |
contributor author | Wakahara, Makio | |
contributor author | Matsumoto, Tad | |
date accessioned | 2020-03-12T18:22:31Z | |
date available | 2020-03-12T18:22:31Z | |
date issued | 2014 | |
identifier issn | 2162-237X | |
identifier other | 6490411.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/956347?locale-attribute=en | |
format | general | |
language | English | |
publisher | IEEE | |
title | Online Bayesian Learning With Natural Sequential Prior Distribution | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7988355 | |
subject keywords | belief networks | |
subject keywords | learning (artificial intelligence) | |
subject keywords | matrix algebra | |
subject keywords | multilayer perceptrons | |
subject keywords | radial basis function networks | |
subject keywords | multilayer perceptrons | |
subject keywords | natural sequential prior distribution | |
subject keywords | observation model | |
subject keywords | online Bayesian learning | |
subject keywords | radial basis functions | |
subject keywords | three-layer perceptron | |
subject keywords | Bayesian learning | |
subject keywords | Fisher information | |
subject keywords | online learning | |
subject keywords | prior distribution | |
subject keywords | sequential Monte Carlo (SMC) | |
identifier doi | 10.1109/TNNLS.2013.2250999 | |
journal title | Neural Networks and Learning Systems, IEEE Transactions on | |
journal volume | 25 | |
journal issue | 1 | |
filesize | 4552578 | |
citations | 0 |