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

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Title:	A novel prediction method for body fat by using Choquet integral with respect to L-measure and gamma-support
Authors:	陳怡如;Chen, I-Ju;李明榮;Lee, Ming-Rong
Contributors:	體育室
Date:	2009-07
Issue Date:	2012-11-22 08:09:37 (UTC+0)
Abstract:	"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."
Relation:	International Conference on Machine Learning and Cybernetics
Appears in Collections:	[Office of Physical Education] Proceedings

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