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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Le-le Cao Wen-bing Huang Fu-chun Sun |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Le-le Cao; Wen-bing Huang; Fu-chun Sun) |
| Abstract | The optimization method based extreme learning machine (optimization-based ELM) is generalized from single-hidden-layer feed-forward neural networks (SLFNs) by making use of kernels instead of neuron-alike hidden nodes. This approach is known for its high scalability, low computational complexity, and mild optimization constrains. The multi-kernel learning (MKL) framework Simple MKL iteratively determines the combination of kernels by gradient descent wrapping a standard support vector machine (SVM) solver. Simple MKL can be applied to many kinds of supervised learning problems to receive a more stable performance with rapid convergence speed. This paper proposes a new approach: MK-ELM (multi-kernel extreme learning machine) that applies Simple MKL framework to the optimization-based ELM algorithm. The performance analysis on binary classification problems with various scales shows that MK-ELM tends to achieve the best generalization performance as well as being the most insensitive to parameters comparing to optimization-based ELM and Simple MKL. As a result, MK-ELM can be implemented in real applications easily. |
| Starting Page | 3564 |
| Ending Page | 3569 |
| File Size | 230176 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.613 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Support vector machines Training Testing Optimization Standards Mathematical model SimpleMKL multi-kernel extreme learning machine (MK-ELM) extreme learning machine (ELM) multi-kernel learning (MKL) optimization-based ELM |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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