Applying 1-norm SVM with squared loss to gene selection for cancer classification

Author:

Zhang LiORCID,Zhou Weida,Wang Bangjun,Zhang Zhao,Li Fanzhang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference47 articles.

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2. Bennett KP (1999) Combining support vector and mathematical programming methods for classification. In: Schölkopf B, Burges CJC, Smola AJ (eds) Advances in Kernel methods: support vector learning. MIT Press, Cambridge, pp 307–326

3. Bi J, Bennett KP, Embrechts M, Breneman CM, Song M (2003) Dimensionality reduction via sparse support vector machines. J Mach Learn Res 3:1229–1243

4. Cao J, Zhang L, Wang B, Li F, Yang J (2015) A fast gene selection method for multi-cancer classification using multiple support vector data description. J Biomed Inform 53(2):381–389

5. Chang CC, Lin CJ (2001) LIBSVM: a library for support vector machines. http://www.csie.ntu.edu.tw/cjlin/libsvm

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