A fast algorithm for feature selection in conditional maximum entropy modeling
Y. Zhou, L. Wu, F. Weng, and H. Schmidt. Proceedings of the 2003 conference on Empirical methods in natural language processing, page 153--159. Morristown, NJ, USA, Association for Computational Linguistics, (2003)
%0 Conference Paper
%1 1119375
%A Zhou, Yaqian
%A Wu, Lide
%A Weng, Fuliang
%A Schmidt, Hauke
%B Proceedings of the 2003 conference on Empirical methods in natural language processing
%C Morristown, NJ, USA
%D 2003
%I Association for Computational Linguistics
%K learning uni entropy ie diplomarbeit machine maximum
%P 153--159
%T A fast algorithm for feature selection in conditional maximum entropy modeling
@inproceedings{1119375,
added-at = {2006-10-07T22:17:49.000+0200},
address = {Morristown, NJ, USA},
author = {Zhou, Yaqian and Wu, Lide and Weng, Fuliang and Schmidt, Hauke},
biburl = {https://www.bibsonomy.org/bibtex/2f8fc75b3e182b3464365f56e03958afb/thomas},
booktitle = {Proceedings of the 2003 conference on Empirical methods in natural language processing},
interhash = {f8e8131e99055f797f7022c887eeb243},
intrahash = {f8fc75b3e182b3464365f56e03958afb},
keywords = {learning uni entropy ie diplomarbeit machine maximum},
pages = {153--159},
publisher = {Association for Computational Linguistics},
timestamp = {2006-10-07T22:17:49.000+0200},
title = {A fast algorithm for feature selection in conditional maximum entropy modeling},
year = 2003
}