Estimating the probability of a class at a point by the approximation of one discriminant function

DOI10.1134/S0005117918090047zbMath1486.68163OpenAlexW2889960257MaRDI QIDQ1992264

V. V. Zenkov

Publication date: 5 November 2018

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117918090047

zbMATH Keywords

classificationmachine learningapproximation of a discriminant functiondisease diagnosticsevaluating posterior probability of a class

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Applying an approximation of the Anderson discriminant function and support vector machines for solving some classification tasks ⋮ Evaluation of the posterior probability of a class with a series of Anderson discriminant functions

Uses Software

• ElemStatLearn

Cites Work

• Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems
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