A fast algorithm for feature selection in conditional maximum entropy modeling
Y. Zhou, L. Wu, F. Weng, и H. Schmidt. Proceedings of the 2003 conference on Empirical methods in natural language processing, стр. 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
}
