Kernel regression on matrix patterns

Povilas  Daniušis; Pranas  Vaitkus

doi:10.15388/LMR.2008.34

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Povilas Daniušis

Vilnius University

Pranas Vaitkus

Vilnius University

Published 2008-12-21

https://doi.org/10.15388/LMR.2008.34

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Keywords

matrix inputs
kernel methods
regression
classification

How to Cite

Daniušis, P. and Vaitkus, P. (2008) “Kernel regression on matrix patterns”, Lietuvos matematikos rinkinys, 48(proc. LMS), pp. 191–195. doi:10.15388/LMR.2008.34.

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Abstract

In this paper we propose a kernel-based regression model for matrix patterns (KRMP). The training algorithm is derived. The proposed model was empirically compared with traditional models.

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