Sparse Bayesian Extreme Learning Machine for Multi-classification

UM > Faculty of Science and Technology

Status	已發表Published
	Sparse Bayesian Extreme Learning Machine for Multi-classification
	Luo, J.H.; Vong, C. M.; Wong, P. K.
	2014-04-01
Source Publication	IEEE Transactions on Neural Networks and Learning Systems (SCI-E)
ISSN	2162-237X
Pages	836-843
Abstract	Extreme learning machine (ELM) has become a popular topic in machine learning in recent years. ELM is a new kind of single-hidden layer feedforward neural network with an extremely low computational cost. ELM, however, has two evident drawbacks: 1) the output weights solved by Moore–Penrose generalized inverse is a least squares minimization issue, which easily suffers from overfitting and 2) the accuracy of ELM is drastically sensitive to the number of hidden neurons so that a large model is usually generated. This brief presents a sparse Bayesian approach for learning the output weights of ELM in classification. The new model, called Sparse Bayesian ELM (SBELM),can resolve these two drawbacks by estimating the marginal likelihood of network outputs and automatically pruning most of the redundan hidden neurons during learning phase, which results in an accurate and compact model. The proposed SBELM is evaluated on wide types of benchmark classification problems, which verifies that the accuracy of SBELM model is relatively insensitive to the number of hidden neurons;and hence a much more compact model is always produced as compared with other state-of-the-art neural network classifiers.
Keyword	Bayesian learning classification extreme learning machine (ELM) sparsity
Language	英語English
The Source to Article	PB_Publication
PUB ID	11152
Document Type	Journal article
Collection	Faculty of Science and Technology
Corresponding Author	Vong, C. M.
Recommended Citation GB/T 7714	Luo, J.H.,Vong, C. M.,Wong, P. K.. Sparse Bayesian Extreme Learning Machine for Multi-classification[J]. IEEE Transactions on Neural Networks and Learning Systems (SCI-E), 2014, 836-843.
APA	Luo, J.H.., Vong, C. M.., & Wong, P. K. (2014). Sparse Bayesian Extreme Learning Machine for Multi-classification. IEEE Transactions on Neural Networks and Learning Systems (SCI-E), 836-843.
MLA	Luo, J.H.,et al."Sparse Bayesian Extreme Learning Machine for Multi-classification".IEEE Transactions on Neural Networks and Learning Systems (SCI-E) (2014):836-843.

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