Fast-Solving Quasi-Optimal LS-S3VM Based on an Extended Candidate Set.

Yuefeng Ma,Xun Liang,James T. Kwok,Jianping Li,Xiaoping Zhou,Haiyan Zhang

IEEE Transactions on Neural Networks and Learning Systems（2018）

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摘要

The semisupervised least squares support vector machine (LS-S3VM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-S3VM exist, the problem of deriving the opti...

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关键词

Support vector machines,Optimization,IP networks,Training,Algorithm design and analysis,Semisupervised learning,Computational modeling

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