 | 2012 |
|---|
| 7 |       | Prateek Jain,
Brian Kulis,
Jason V. Davis,
Inderjit S. Dhillon:
Metric and Kernel Learning Using a Linear Transformation.
Journal of Machine Learning Research 13: 519-547 (2012) |
| 2008 |
|---|
| 6 | | Jason V. Davis,
Inderjit S. Dhillon:
Structured metric learning for high dimensional problems.
KDD 2008: 195-203 |
| 2007 |
|---|
| 5 | | Jason V. Davis,
Brian Kulis,
Prateek Jain,
Suvrit Sra,
Inderjit S. Dhillon:
Information-theoretic metric learning.
ICML 2007: 209-216 |
| 4 | | Jungwoo Ha,
Christopher J. Rossbach,
Jason V. Davis,
Indrajit Roy,
Hany E. Ramadan,
Donald E. Porter,
David L. Chen,
Emmett Witchel:
Improved error reporting for software that uses black-box components.
PLDI 2007: 101-111 |
| 2006 |
|---|
| 3 | | Jason V. Davis,
Jungwoo Ha,
Christopher J. Rossbach,
Hany E. Ramadan,
Emmett Witchel:
Cost-Sensitive Decision Tree Learning for Forensic Classification.
ECML 2006: 622-629 |
| 2 | | Jason V. Davis,
Inderjit S. Dhillon:
Estimating the global pagerank of web communities.
KDD 2006: 116-125 |
| 1 | | Jason V. Davis,
Inderjit S. Dhillon:
Differential Entropic Clustering of Multivariate Gaussians.
NIPS 2006: 337-344 |
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