| 2008 |
|---|
| 6 | EE | 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 |
|---|
| 5 | EE | David M. Blei,
Jon D. McAuliffe:
Supervised Topic Models.
NIPS 2007 |
| 2006 |
|---|
| 4 | EE | 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 |
|---|
| 3 | EE | 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 |
|---|
| 2 | EE | Peter L. Bartlett,
Michael I. Jordan,
Jon D. McAuliffe:
Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates.
NIPS 2003 |
| 1 | EE | 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) |
