CONSTRUCTING SPARSE KERNEL MACHINES USING ATTRACTORS
SCIE
SCOPUS
- Title
- CONSTRUCTING SPARSE KERNEL MACHINES USING ATTRACTORS
- Authors
- Lee, D; Jung, KH; Lee, J
- Date Issued
- 2009-04
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGI
- Abstract
- In this brief, a novel method that constructs a sparse kernel machine is proposed. The proposed method generates attractors as sparse solutions from a built-in kernel machine via a dynamical system framework. By readjusting the corresponding coefficients and bias terms, a sparse kernel machine that approximates a conventional kernel machine is constructed. The simulation results show that the constructed sparse kernel machine improves the efficiency of testing phase while maintaining comparable test error.
- Keywords
- Attractors; dynamical systems; kernel method; sparse kernel machines; support vector domain description (SVDD); support vector machine (SVM); VECTOR MACHINE; CLASSIFICATION
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/29055
- DOI
- 10.1109/TNN.2009.201
- ISSN
- 1045-9227
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 20, no. 4, page. 721 - 729, 2009-04
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