Sparse Bayesian Extreme Learning Machine for Multi-classification
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: 2014DOI: 10.1109/TNNLS.2013.2281839
Keyword(s): 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 | http://libsearch.um.ac.ir:80/fum/handle/fum/960023?locale-attribute=en | |
| 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 |