The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach

The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach

The problem of effective intellectual analysis in the case of handling short datasets is topical in various application areas. Such problems arise in medicine, economics, materials science, science, etc. This paper deals with a new additive input-doubling method designed by the authors for processin...

Full description

Bibliographic Details
Main Authors: Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Nataliia Lotoshynska
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Symmetry
Subjects:
small data approach
short dataset
input-doubling method
machine learning
SVR
nonlinear kernels
Online Access:https://www.mdpi.com/2073-8994/13/4/612

Internet

https://www.mdpi.com/2073-8994/13/4/612

Similar Items