Nonextensive maximum-entropy-based formalism for data subset selection

被引：6

作者：

Rebolla-Neira, L ^{[1
]}

Plastino, A

机构：

[1] Aston Univ, NCRG, Birmingham B4 7ET, W Midlands, England

[2] Natl Univ La Plata, Inst Fis La Plata, RA-1900 La Plata, Argentina

[3] Consejo Nacl Invest Cient & Tecn, RA-1900 La Plata, Argentina

来源：

PHYSICAL REVIEW E | 2002年 / 65卷 / 01期

关键词：

D O I：

10.1103/PhysRevE.65.011113

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

A method for data subset selection, which is based on the q = 1/2 maximum information measure formalism, is proposed. The method evolves iteratively by selecting, at each iteration, the measure yielding a q = 1/2 distribution capable of making predictions minimizing the Euclidean distance to the available data.

引用

页数：7

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