Multi-view learning with privileged weighted twin support vector machine. (arXiv:2201.11306v1 [stat.ML])

Weighted twin support vector machines (WLTSVM) mines as much potential
similarity information in samples as possible to improve the common
short-coming of non-parallel plane classifiers. Compared with twin support
vector machines (TWSVM), it reduces the time complexity by deleting the
superfluous constraints using the inter-class K-Nearest Neighbor (KNN).
Multi-view learning (MVL) is a newly developing direction of machine learning,
which focuses on learning acquiring information from the data indicated by
multiple feature sets. In this paper, we propose multi-view learning …

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