Learning theory viewpoint of approximation by positive linear operators

We follow a learning theory viewpoint to study a family of learning schemes for regression related to positive linear operators in approximation theory. Such a learning scheme is generated from a random sample by a kernel function parameterized by a scaling parameter. The essential difference betwee...

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Veröffentlicht in:	Computers & mathematics with applications (1987) Jg. 60; H. 12; S. 3177 - 3186
Hauptverfasser:	Lv, Shaogao, Shi, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2010
Schlagworte:	Approximation Approximation theory Bernstein and Jackson kernels Error analysis Kernels Learning Learning theory Linear operators Mathematical analysis Positive linear operator Regression Regression function Sampling Regression function Bernstein and Jackson kernels Approximation theory Positive linear operator Learning theory
ISSN:	0898-1221, 1873-7668
Online-Zugang:	Volltext
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