Exponential Family Hybrid Semi-Supervised Learning
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.
Cite
Text
Agarwal and Iii. "Exponential Family Hybrid Semi-Supervised Learning." International Joint Conference on Artificial Intelligence, 2009.Markdown
[Agarwal and Iii. "Exponential Family Hybrid Semi-Supervised Learning." International Joint Conference on Artificial Intelligence, 2009.](https://mlanthology.org/ijcai/2009/agarwal2009ijcai-exponential/)BibTeX
@inproceedings{agarwal2009ijcai-exponential,
title = {{Exponential Family Hybrid Semi-Supervised Learning}},
author = {Agarwal, Arvind and Iii, Hal Daumé},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2009},
pages = {974-979},
url = {https://mlanthology.org/ijcai/2009/agarwal2009ijcai-exponential/}
}