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 | https://libsearch.um.ac.ir:443/fum/handle/fum/956347 | |
| 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 |