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2013 Regularized Least Square Regression with Unbounded and Dependent Sampling
Xiaorong Chu, Hongwei Sun
Abstr. Appl. Anal. 2013: 1-7 (2013). DOI: 10.1155/2013/139318


This paper mainly focuses on the least square regression problem for the α -mixing and ϕ -mixing processes. The standard bound assumption for output data is abandoned and the learning algorithm is implemented with samples drawn from dependent sampling process with a more general output data condition. Capacity independent error bounds and learning rates are deduced by means of the integral operator technique.


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Xiaorong Chu. Hongwei Sun. "Regularized Least Square Regression with Unbounded and Dependent Sampling." Abstr. Appl. Anal. 2013 1 - 7, 2013.


Published: 2013
First available in Project Euclid: 27 February 2014

zbMATH: 1273.62208
MathSciNet: MR3044987
Digital Object Identifier: 10.1155/2013/139318

Rights: Copyright © 2013 Hindawi

Vol.2013 • 2013
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