Exponential Family Hybrid Semi-Supervised Learning

We present an approach to semi-supervised learning based on an exponential family characterization. Our approach generalizes previous work on coupled priors for hybrid generative/discriminative models. Our model is more flexible and natural than previous approaches. Experimental results on several data sets show that our approach also performs better in practice.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Arvind Agarwal, Hal Daumé III
• Keywords: CORR 2010, Data Sets, Education, Exponential Family Characterization, Priors