Search Results for author: Marthinus Christoffel du Plessis

Found 4 papers, 0 papers with code

Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data

no code implementations ICML 2017 Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama

Most of the semi-supervised classification methods developed so far use unlabeled data for regularization purposes under particular distributional assumptions such as the cluster assumption.

Classification General Classification

Transductive Learning with Multi-class Volume Approximation

no code implementations3 Feb 2014 Gang Niu, Bo Dai, Marthinus Christoffel du Plessis, Masashi Sugiyama

Given a hypothesis space, the large volume principle by Vladimir Vapnik prioritizes equivalence classes according to their volume in the hypothesis space.

Transductive Learning

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