A novel prediction method for body fat by using Choquet integral with respect to L-measure and gamma-support

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题名:	A novel prediction method for body fat by using Choquet integral with respect to L-measure and gamma-support
作者:	陳怡如;Chen, I-Ju;李明榮;Lee, Ming-Rong
贡献者:	體育室
日期:	2009-07
上传时间:	2012-11-22 08:09:37 (UTC+0)
摘要:	"Establishing a good algorithm for predicting body fat of body composition is an important issue. In this study, a novel body fat prediction method by using Choquet integral regression model based on L-measure and Gamma-support is proposed. For evaluating the performance of this new algorithm, a 5-fold Cross-Validation RMSE is performed. Experimental result shows that this new prediction scheme is better than the Choquet integral regression model based on Gamma-measure and P-measure, respectively and two traditional prediction models, ridge regression and multiple regression models, respectively."
關聯:	International Conference on Machine Learning and Cybernetics
显示于类别:	[體育室] 會議論文

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