Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We introduce a constructive approach for the least squares algorithms with generalized K-norm regularization.
Different from the previous studies, a stepping-stone function is constructed with some adjustable parameters in error decomposition.
It makes the analysis flexible and may be extended to other algorithms.
Based on projection technique for sample error and spectral theorem for integral operator in regularization error, we finally derive a learning rate.
American Psychological Association (APA)
Wang, Cheng& Nie, Weilin. 2014. Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013962
Modern Language Association (MLA)
Wang, Cheng& Nie, Weilin. Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1013962
American Medical Association (AMA)
Wang, Cheng& Nie, Weilin. Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1013962
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013962