Robust Multi-task Least Squares Twin Support Vector Machines for Classification

Reshma Rastogi; Mustaffa Hussain

doi:10.1007/978-981-19-0840-8_29

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Robust Multi-task Least Squares Twin Support Vector Machines for Classification

Reshma Rastogi Mustaffa Hussain

Year: 2022 Lecture notes in electrical engineering Pages: 393-405 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-19-0840-8_29

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Keywords:

Computer science Task (project management) Support vector machine Least squares support vector machine Artificial intelligence Machine learning Least-squares function approximation Kernel method Kernel (algebra) Relevance vector machine Pattern recognition (psychology) Noise (video) Algorithm Mathematics Engineering Statistics

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Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Robust Multi-task Least Squares Twin Support Vector Machines for Classification

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