Sparse Bayesian Extreme Learning Machine for Multi-classification
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: 2014شناسه الکترونیک: 10.1109/TNNLS.2013.2281839
کلیدواژه(گان): belief networks,feedforward neural nets,learning (artificial intelligence),minimisation,pattern classification,ELM,Moore-Penrose generalized inverse,benchmark classification problem,hidden neurons,least squares minimization,machine learning,marginal likelihood estimation,redundant hidden neurons,single-hidden layer feedforward neural network,sparse Bayesian extreme learning machine,Accuracy,Bayes methods,Computational modeling,Couplings,Neurons,Support vector machines,Traini
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Sparse Bayesian Extreme Learning Machine for Multi-classification
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contributor author | Jiahua Luo | |
contributor author | Chi-Man Vong | |
contributor author | Pak-Kin Wong | |
date accessioned | 2020-03-12T18:29:02Z | |
date available | 2020-03-12T18:29:02Z | |
date issued | 2014 | |
identifier issn | 2162-237X | |
identifier other | 6615928.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/960023 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Sparse Bayesian Extreme Learning Machine for Multi-classification | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7992658 | |
subject keywords | belief networks | |
subject keywords | feedforward neural nets | |
subject keywords | learning (artificial intelligence) | |
subject keywords | minimisation | |
subject keywords | pattern classification | |
subject keywords | ELM | |
subject keywords | Moore-Penrose generalized inverse | |
subject keywords | benchmark classification problem | |
subject keywords | hidden neurons | |
subject keywords | least squares minimization | |
subject keywords | machine learning | |
subject keywords | marginal likelihood estimation | |
subject keywords | redundant hidden neurons | |
subject keywords | single-hidden layer feedforward neural network | |
subject keywords | sparse Bayesian extreme learning machine | |
subject keywords | Accuracy | |
subject keywords | Bayes methods | |
subject keywords | Computational modeling | |
subject keywords | Couplings | |
subject keywords | Neurons | |
subject keywords | Support vector machines | |
subject keywords | Traini | |
identifier doi | 10.1109/TNNLS.2013.2281839 | |
journal title | Neural Networks and Learning Systems, IEEE Transactions on | |
journal volume | 25 | |
journal issue | 4 | |
filesize | 2112676 | |
citations | 0 |