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A nonlinear kernel SVM classifier via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e5125" altimg="si83.svg"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn><mml:mo>/</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math> soft-margin loss with classification performance

Ju Liu, Lingwei Huang, Yuan‐Hai Shao, Weijie Chen, Chun‐Na Li

2023Journal of Computational and Applied Mathematics10 citationsDOI

Topics & Concepts

Support vector machineMathematicsKernel (algebra)Nonlinear systemAlgorithmKernel methodMargin (machine learning)Benchmark (surveying)Applied mathematicsArtificial intelligenceComputer scienceMachine learningDiscrete mathematicsGeodesyPhysicsGeographyQuantum mechanicsFace and Expression RecognitionAdvanced Algorithms and Applications
A nonlinear kernel SVM classifier via <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e5125" altimg="si83.svg"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn><mml:mo>/</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math> soft-margin loss with classification performance | Litcius