The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 54-181
Full Name: Sheng Baohuai
Position: Professor
Age: ON
Sex: Male
Address: Department of mathematics,Shaoxing College of Arts and Sciences,Shaoxing,Zhejiang 312000
Country: CHINA
Tel: 086-575-88345092
Tel prefix:
Fax:
E-mail address: bhsheng@usx.edu.cn
Other E-mails: shengbaohuai@163.com
Title of the Paper: bound the learning rates with generalized gradients
Authors as they appear in the Paper: Xiang Daohong
Email addresses of all the authors: bhsheng@usx.edu.cn, daohongxiang@gmail.com
Number of paper pages: 10
Abstract: This paper considers the error bounds for the coefficient regularized regression schemes associated with Lipschitz loss. Our main goal is to study the convergence rates for this algorithm with non-smooth analysis. We give an explicit expression of the solution with generalized gradients of the loss which induces a capacity independent bound for the sample error. A kind of approximation error is provided with possibility theory.
Keywords: Regularization regression, non-smooth analysis,Lipschitz loss,machine learning,learning rates,generalized gradient
EXTENSION of the file: .pdf
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Organizer of the Session:
How Did you learn about congress: Learning theory,machine learning
IP ADDRESS: 61.175.244.120
