2008 |
5 | EE | Nicolas Loeff,
David A. Forsyth,
Deepak Ramachandran:
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning.
ICML 2008: 600-607 |
2007 |
4 | EE | Deepak Ramachandran,
Eyal Amir:
Bayesian Inverse Reinforcement Learning.
IJCAI 2007: 2586-2591 |
2006 |
3 | EE | 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 | EE | Deepak Ramachandran,
Eyal Amir:
Compact Propositional Encodings of First-Order Theories.
IJCAI 2005: 1579-1580 |