Adaptive pruning algorithm for least squares support vector machine classifier

DOI10.1007/S00500-009-0434-0zbMath1214.68308OpenAlexW2073572883MaRDI QIDQ973696

Xiaowei Yang, Jie Lu, Guang-Quan Zhang

Publication date: 26 May 2010

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-009-0434-0

zbMATH Keywords

pruningincremental learningsupport vector machineadaptiveleast squares support vector machinedecremental learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

PMSVM: an optimized support vector machine classification algorithm based on PCA and multilevel grid search methods

Uses Software

• UCI-ml

Cites Work

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• Benchmarking least squares support vector machine classifiers
• Weighted least squares support vector machines: robustness and sparse approximation
• Support-vector networks
• 10.1162/15324430152748218
• SMO Algorithm for Least-Squares SVM Formulations
• Efficient computations for large least square support vector machine classifiers
• Improvements to Platt's SMO Algorithm for SVM Classifier Design
• Choosing multiple parameters for support vector machines

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