Fisher-regularized support vector machine

DOI10.1016/j.ins.2016.01.053zbMath1395.68241OpenAlexW2264375215MaRDI QIDQ1671742

Wei-Da Zhou, Li Zhang

Publication date: 7 September 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2016.01.053

zbMATH Keywords

Fisher discriminant analysiskernel tricksupport vector machineFisher regularizationmaximum margin regularization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (3)

CTSVM: a robust twin support vector machine with correntropy-induced loss function for binary classification problems ⋮ Support vector machine with Dirichlet feature mapping ⋮ Laplacian pair-weight vector projection for semi-supervised learning

Uses Software

• UCI-ml
• LIBSVM
• TPMSVM
• SGTlight

Cites Work

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• An efficient kernel discriminant analysis method
• On the mathematical foundations of learning
• SUPPORT VECTOR MACHINES BASED ON THE ORTHOGONAL PROJECTION KERNEL OF FATHER WAVELET
• Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis
• Theory of Reproducing Kernels

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