Generating an SVM Kernel function using genetic algorithm

Generating an SVM Kernel function using genetic algorithm

SVMs' performance is affected greatly by the choice of kernel function and kernel parameters. This study made use of a complete binary tree of depth 3 and the Genetic Algorithm to automate the non-trivial task of finding a kernel function that best classi

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書目詳細資料
主要作者:	IMMER, BALDOS
格式:	text
出版:	Archīum Ateneo 2012
主題:	Support vector machines Supervised learning (Machine learning)Kernel functions
在線閱讀:	https://archium.ateneo.edu/theses-dissertations/192
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Ateneo De Manila University

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