Exponential Family Hybrid Semi-Supervised Learning
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 974-978.
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. Arvind Agarwal, Hal Daume III
Arvind Agarwal, and Hal Daumé III. 2009. Exponential Family Hybrid Semi-Supervised Learning. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09. IJCAI, 974–978. https://ijcai.org/proceedings/2009/165
Agarwal, A., & III, H. D. (2009). Exponential Family Hybrid Semi-Supervised Learning. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 (pp. 974–978). IJCAI. https://ijcai.org/proceedings/2009/165
@inproceedings{ijcai2009p165,
title = {Exponential Family Hybrid Semi-Supervised Learning},
author = {Agarwal, Arvind and III, Hal Daumé},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {974--978},
year = {2009},
url = {https://ijcai.org/proceedings/2009/165},
}
TY - CPAPER TI - Exponential Family Hybrid Semi-Supervised Learning AU - Agarwal, Arvind AU - III, Hal Daumé T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 974 EP - 978 UR - https://ijcai.org/proceedings/2009/165 ER -Copied
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