Semi-supervised Learning

Jul 28, 2014

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Semi-supervised Learning. Delip Rao ( delip@jhu.edu ). Outline. Inductive vs. Transductive learning EM & Mixture Models Self-Training Co-Training Manifold regularization (graph based methods) SVM ( transductive & S3VMs) Regularization methods Entropy/Label, etc. Learning Settings.

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Semi-supervised Learning

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Semi-supervised Learning Delip Rao (delip@jhu.edu)
Outline • Inductive vs. Transductive learning • EM & Mixture Models • Self-Training • Co-Training • Manifold regularization (graph based methods) • SVM (transductive & S3VMs) • Regularization methods • Entropy/Label, etc
Learning Settings

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