| 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?locale-attribute=en&show=full |  | 
| 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 |  |