Sparse Incremental Regression Modeling Using Correlation Criterion with Boosting Search

A novel technique is presented to construct sparse generalized Gaussian kernel regression models. The proposed method appends regressors in an incremental modeling by tuning the mean vector and diagonal covariance matrix of individual Gaussian regressor to best fit the training data based on a corre...

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Bibliographic Details
Main Authors: Chen, S. (Author), Wang, X.X (Author), Brown, D.J (Author)
Format: Article
Language:English
Published: 2005-03.
Subjects:
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