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ICML
2009
IEEE
16 years 4 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
137
Voted
DASFAA
2009
IEEE
252views Database» more  DASFAA 2009»
15 years 10 months ago
Optimal Privacy-Aware Path in Hippocratic Databases
Abstract. Privacy becomes a major concern for both customers and enterprises in today’s corporate marketing strategies, many research efforts have been put into developing new p...
Min Li, Xiaoxun Sun, Hua Wang, Yanchun Zhang
111
Voted
FOCS
2009
IEEE
15 years 10 months ago
Agnostic Learning of Monomials by Halfspaces Is Hard
— We prove the following strong hardness result for learning: Given a distribution on labeled examples from the hypercube such that there exists a monomial (or conjunction) consi...
Vitaly Feldman, Venkatesan Guruswami, Prasad Ragha...
HPDC
2009
IEEE
15 years 10 months ago
TakTuk, adaptive deployment of remote executions
This article deals with TakTuk, a middleware that deploys efficiently parallel remote executions on large scale grids (thousands of nodes). This tool is mostly intended for intera...
Benoit Claudel, Guillaume Huard, Olivier Richard
ICRA
2008
IEEE
182views Robotics» more  ICRA 2008»
15 years 10 months ago
A body joint improves vertical to horizontal transitions of a wall-climbing robot
— Several recently-designed robots are able to scale steep surfaces using animal-inspired strategies for foot attachment and leg kinematics. These designs could be valuable for r...
Kathryn A. Daltorio, Timothy C. Witushynsky, Grego...