Galen Andrew

	2012
7		Galen Andrew, Jeff Bilmes: Memory-efficient inference in dynamic graphical models using multiple cores. Journal of Machine Learning Research - Proceedings Track 22: 47-53 (2012)
	2007
6		Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina Toutanova: A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing. ACL 2007
5		Galen Andrew, Jianfeng Gao: Scalable training of L1-regularized log-linear models. ICML 2007: 33-40
	2006
4		Galen Andrew: A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation. EMNLP 2006: 465-472
	2004
3		Galen Andrew, Trond Grenager, Christopher D. Manning: Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Task. EMNLP 2004: 150-157
	2003
2		Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham: Boosting as a Metaphor for Algorithm Design. CP 2003: 899-903
1		Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham: A Portfolio Approach to Algorithm Selection. IJCAI 2003: 1542-1542

Coauthor Index

1	Jeff A. Bilmes (Jeff Bilmes)	[7]
2	Jianfeng Gao	[5] [6]
3	Trond Grenager	[3]
4	Mark Johnson	[6]
5	Kevin Leyton-Brown	[1] [2]
6	Christopher D. Manning	[3]
7	Jim McFadden	[1] [2]
8	Eugene Nudelman	[1] [2]
9	Yoav Shoham	[1] [2]
10	Kristina Toutanova	[6]

Colors in the list of coauthors

Last update Sat May 26 04:23:17 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page