Data Compression for Learning MRF Parameters
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Machine Learning. Pages 3784-3789.
Abstract
We propose a technique for decomposing and compressing the dataset in the parameter learning problem in Markov random fields. Our technique applies to incomplete datasets and exploits variables that are always observed in the given dataset. We show that our technique allows exact computation of the gradient and the likelihood, and can lead to orders-of-magnitude savings in learning time.
Khaled S. Refaat, and Adnan Darwiche. 2015. Data Compression for Learning MRF Parameters. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 3784–3789. https://ijcai.org/proceedings/2015/532
Refaat, K. S., & Darwiche, A. (2015). Data Compression for Learning MRF Parameters. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 (pp. 3784–3789). IJCAI. https://ijcai.org/proceedings/2015/532
@inproceedings{ijcai2015p532,
title = {Data Compression for Learning MRF Parameters},
author = {Refaat, Khaled S. and Darwiche, Adnan},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {3784--3789},
year = {2015},
month = {7},
note = {Special Track on Machine Learning},
url = {https://ijcai.org/proceedings/2015/532},
}
TY - CPAPER TI - Data Compression for Learning MRF Parameters AU - Refaat, Khaled S. AU - Darwiche, Adnan T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 3784 EP - 3789 UR - https://ijcai.org/proceedings/2015/532 ER -Copied
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