Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling

Anthology ID:: W04-3223
Volume:: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing
Month:: July
Year:: 2004
Address:: Barcelona, Spain
Venue:: EMNLP
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 174–181
Language:
URL:: https://aclanthology.org/W04-3223
DOI:
Bibkey:
Cite (ACL):: Stefan Riezler and Alexander Vasserman. 2004. Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling. In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pages 174–181, Barcelona, Spain. Association for Computational Linguistics.
Cite (Informal):: Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling (Riezler & Vasserman, EMNLP 2004)
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PDF:: https://preview.aclanthology.org/nodalida-main-page/W04-3223.pdf