Improving multi-view semi-supervised learning with agreement-based sampling
Jin Huang, Jelber Sayyad-Shirabad, Stan Matwin, Su Qing Jiang · Intelligent Data Analysis · 2012
Semi-supervised learning algorithms are widely used to build strong learning models when there are not enough labeled instances. Some semi-supervised learning algorithms, including co-training and co-EM, use multiple views to build learning models. P