 | 2008 |
| 5 |  | Nicolas Loeff,
David A. Forsyth,
Deepak Ramachandran:
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning.
ICML 2008: 600-607 |
| 2007 |
| 4 |  | Deepak Ramachandran,
Eyal Amir:
Bayesian Inverse Reinforcement Learning.
IJCAI 2007: 2586-2591 |
| 2006 |
| 3 |  | Deepak Ramachandran,
Neil Boyette,
Isaac Cheng,
Vikas Krishna,
Savitha Srinivasan:
Towards Scaleable and Adaptive Document Routing Services.
IEEE SCC 2006: 311-314 |
| 2005 |
| 2 |  | Deepak Ramachandran,
Eyal Amir:
Compact Propositional Encodings of First-Order Theories.
AAAI 2005: 340-345 |
| 1 |  | Deepak Ramachandran,
Eyal Amir:
Compact Propositional Encodings of First-Order Theories.
IJCAI 2005: 1579-1580 |