Quadratic kernel-free least squares support vector machine for target diseases classification

Author:

Bai Yanqin,Han Xiao,Chen Tong,Yu Hua

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Control and Optimization,Discrete Mathematics and Combinatorics,Computer Science Applications

Reference27 articles.

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2. Baesensl B, Viaenel S, Van Gestel T, Suykens JA, Dedene G, De Moor B, Vanthienen J (2000) An empirical assessment of kernel type performance for least squares support vector machine classifiers. Fourth international conference on knowledge-based. lntelligent engineerg systems & allied technologies, vol 1, pp 313–316

3. Bai Y, Chen Y, Niu B (2013) New sdp models for protein homology detection with semi-supervised SVM. Optimization 62(4):561–572

4. Bai Y, Niu BL, Chen Y (2012) Sdp relaxation for semi-supervised support vector machine. Pac J Optim 8(1):3–14

5. Bai Y, Shen K, Shen Y (2014) Consensus proximal support vector machine for classification. J Oper Res Soc China 2:57–74

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