Recursive reduced least squares support vector regression

DOI10.1016/j.patcog.2008.09.028zbMath1162.68645OpenAlexW2052888998MaRDI QIDQ1010090

Jian-Guo Sun, Yong-Ping Zhao

Publication date: 3 April 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.09.028

zbMATH Keywords

classificationleast squares support vector regressioniterative strategyparsimoniousnessreduced technique

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (7)

Parsimonious kernel extreme learning machine in primal via Cholesky factorization ⋮ Complex system fault diagnosis based on a fuzzy robust wavelet support vector classifier and an adaptive Gaussian particle swarm optimization ⋮ Optimized fixed-size kernel models for large data sets ⋮ Unnamed Item ⋮ A pruning method of refining recursive reduced least squares support vector regression ⋮ A new adaptive LSSVR with online multikernel RBF tuning to evaluate analog circuit performance ⋮ Online independent reduced least squares support vector regression

Uses Software

• SVMlight
• LIBSVM
• SVMTorch
• RSVM

Cites Work

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• Benchmarking least squares support vector machine classifiers
• Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
• Reduced rank kernel ridge regression
• Practical selection of SVM parameters and noise estimation for SVM regression
• Support-vector networks
• 10.1162/15324430152733142
• 10.1162/15324430260185637
• SMO Algorithm for Least-Squares SVM Formulations
• Chaos control using least-squares support vector machines
• Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis

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