Jon D. McAuliffe

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	2008
c3		Alexander Braunstein, Zhi Wei, Shane T. Jensen, Jon D. McAuliffe: A spatially varying two-sample recombinant coalescent, with applications to HIV escape response. NIPS 2008: 193-200
	2007
c2		David M. Blei, Jon D. McAuliffe: Supervised Topic Models. NIPS 2007
	2006
j3		Jon D. McAuliffe, David M. Blei, Michael I. Jordan: Nonparametric empirical Bayes for the Dirichlet process mixture model. Statistics and Computing 16(1): 5-14 (2006)
	2004
j2		Jon D. McAuliffe, Lior Pachter, Michael I. Jordan: Multiple-sequence functional annotation and the generalized hidden Markov phylogeny. Bioinformatics 20(12): 1850-1860 (2004)
	2003
j1		Benjamin I. P. Rubinstein, Jon D. McAuliffe, Simon Cawley, Marimuthu Palaniswami, Kotagiri Ramamohanarao, Terence P. Speed: Machine learning in low-level microarray analysis. SIGKDD Explorations 5(2): 130-139 (2003)
c1		Peter L. Bartlett, Michael I. Jordan, Jon D. McAuliffe: Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates. NIPS 2003

Coauthor Index

1	Peter L. Bartlett	[c1]
2	David M. Blei	[c2] [j3]
3	Alexander Braunstein	[c3]
4	Simon Cawley	[j1]
5	Shane T. Jensen	[c3]
6	Michael I. Jordan	[j3] [j2] [c1]
7	Lior Pachter	[j2]
8	Marimuthu Palaniswami	[j1]
9	Kotagiri Ramamohanarao (Rao Kotagiri)	[j1]
10	Benjamin I. P. Rubinstein	[j1]
11	Terence P. Speed	[j1]
12	Zhi Wei	[c3]

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