In-depth analysis of SVM kernel learning and its components
Author:
Funder
Ministerio de Ciencia e Innovación
Eusko Jaurlaritza
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05419-z.pdf
Reference54 articles.
1. Ali S, Smith-Miles KA (2006) A meta-learning approach to automatic kernel selection for support vector machines. Neurocomputing 70(1):173–186. https://doi.org/10.1016/j.neucom.2006.03.004
2. Alizadeh M, Ebadzadeh MM (2011) Kernel evolution for support vector classification. In: 2011 IEEE workshop on evolving and adaptive intelligent systems (EAIS), pp 93–99. https://doi.org/10.1109/EAIS.2011.5945924
3. Bing W, Wen-qiong Z, Ling C, Jia-hong L (2010) A GP-based kernel construction and optimization method for RVM. In: 2010 the 2nd international conference on computer and automation engineering (ICCAE), vol 4, pp 419–423. https://doi.org/10.1109/ICCAE.2010.5451646
4. Boser BE, Guyon IM, Vapnik VN (1992) A training algorithm for optimal margin classifiers. In: Proceedings of the fifth annual workshop on computational learning theory. ACM, New York, NY, USA, COLT ’92, pp 144–152. https://doi.org/10.1145/130385.130401. (Event-place: Pittsburgh, Pennsylvania, USA)
5. Burges CJ, Crisp DJ (2000) Uniqueness of the SVM solution. In: Advances in neural information processing systems, pp 223–229
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