Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem

Published 2017 View Full Article

Authors

Keywords

Multi-Class classification, Intrusion detection, K-Support Vector Classification-Regression, Ramp loss function, Alternating Direction Method of Multipliers (ADMM), Concave–Convex Procedure (CCCP)

Journal

KNOWLEDGE-BASED SYSTEMS

Volume 126, Issue -, Pages 113-126

Publisher

Elsevier BV

Online

2017-03-17

DOI

10.1016/j.knosys.2017.03.012

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started