A robust weighted least squares support vector regression based on least trimmed squares

Chuanfa Chen; Changqing Yan; Yanyan Li

doi:10.1016/j.neucom.2015.05.031

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A robust weighted least squares support vector regression based on least trimmed squares

Chuanfa Chen Changqing Yan Yanyan Li

Year: 2015 Journal: Neurocomputing Vol: 168 Pages: 941-946 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2015.05.031

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Keywords:

Outlier Robustness (evolution) Least trimmed squares Robust regression Iteratively reweighted least squares Support vector machine Mathematics Estimator Least squares support vector machine Least-squares function approximation Computer science Regression Statistics Generalized least squares Pattern recognition (psychology) Artificial intelligence Chemistry

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Process Monitoring

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Fuzzy Systems and Optimization

Physical Sciences → Mathematics → Statistics and Probability

A robust weighted least squares support vector regression based on least trimmed squares

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