Sparse support vector regression based on orthogonal forward selection for the generalised kernel model
نویسندگان
چکیده
منابع مشابه
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model
This paper considers sparse regression modelling using a generalised kernel model in which each kernel regressor has its individually tuned centre vector and diagonal covariance matrix. An orthogonal least squares forward selection procedure is employed to select the regressors one by one, so as to determine the model structure. After the regressor selection, the corresponding model weight para...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2006
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2005.12.129