Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine

Li Zhang; Xiaohan Zheng; Zhiqiang Xu

doi:10.1007/978-981-15-7670-6_10

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Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine

Li Zhang Xiaohan Zheng Zhiqiang Xu

Year: 2020 Communications in computer and information science Pages: 107-118 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-15-7670-6_10

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Keywords:

Feature selection Computer science Support vector machine Selection (genetic algorithm) Pattern recognition (psychology) Artificial intelligence Machine learning

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine

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