Measuring GPU-accelerated parallel SVM performance using large datasets for multi-class machine learning problem

Artificial intelligence; Computer graphics; Computer graphics equipment; Data mining; Learning systems; Parallel processing systems; Program processors; Quadratic programming; Computational time; GPU-accelerated; Graphics Processing Unit; Machine learning problem; Performance measurements; Real-time...

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Bibliographic Details
Main Authors: Sulaiman M.A.H.B., Suliman A., Ahmad A.R.
Other Authors: 56727740800
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Summary:Artificial intelligence; Computer graphics; Computer graphics equipment; Data mining; Learning systems; Parallel processing systems; Program processors; Quadratic programming; Computational time; GPU-accelerated; Graphics Processing Unit; Machine learning problem; Performance measurements; Real-time forecasting; Support vector machine (SVMs); Viable solutions; Support vector machines