paper

Exponential Family Hybrid Semi-Supervised Learning

arXiv:1003.0696

Abstract

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.

6 pages, 3 figures

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