Stacked Regression With a Generalization of the Moore-Penrose Pseudoinverse

Górecki Tomasz () and Łuczak Maciej ()
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Górecki Tomasz: Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznan, Poland .
Łuczak Maciej: Faculty of Civil Engineering, Environmental and Geodetic Sciences, Koszalin University of Technology, Sniadeckich 2, 75-453 Koszalin, Poland .

Statistics in Transition New Series, 2017, vol. 18, issue 3, 443-458

Abstract: In practice, it often happens that there are a number of classification methods. We are not able to clearly determine which method is optimal. We propose a combined method that allows us to consolidate information from multiple sources in a better classifier. Stacked regression (SR) is a method for forming linear combinations of different classifiers to give improved classification accuracy. The Moore-Penrose (MP) pseudoinverse is a general way to find the solution to a system of linear equations.

Keywords: stacked regression; genetic algorithm; Moore-Penrose pseudoinverse (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:18:y:2017:i:3:p:443-458:n:6

DOI: 10.21307/stattrans-2016-080

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