2022
DOI: 10.1109/access.2022.3215155
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Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application

Abstract: The main purpose of twin support vector regression (TSVR) is to find linear or nonlinear relationships in sample data, and then predict future data. TSVR is the decomposition of a large convex quadratic programming problem into two small convex quadratic programming problems. Therefore, TSVR not only has the advantages of fast computation and low computational complexity, but also has better regression performance. Classic SVR, TSVR is assuming that accords with mean zero, variance of noise with the variance o… Show more

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