Virual Oral Presentation Slide by Slide

IEEE/ICACT20220329 Slide.07        [Big Slide]	Oral Presentation
	The One-Class SVM is unsupervised. It is a novelty detection method. The goal of One-Class SVM is to fit a hyperplane as a boundary, which can best include all training data and exclude any other data points. One-Class SVM is considered to be one of the most mature outlier-based machine learning technologies. After One-Class SVM being trained, a spherical boundary will be formed.

[Go to Next Slide]

Select Voice: Virtual Oral Presentation!!