Local regularization assisted orthogonal least squares regression
نویسندگان
چکیده
منابع مشابه
Local regularization assisted orthogonal least squares regression
A locally regularized orthogonal least squares (LROLS) algorithm is proposed for constructing parsimonious or sparse regression models that generalize well. By associating each orthogonal weight in the regression model with an individual regularization parameter, the ability for the orthogonal least squares model selection to produce a very sparse model with good generalization performance is g...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2006
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2004.12.011