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ICML
2009
IEEE
15 years 10 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
134
Voted
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 9 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
149
Voted
CONCURRENCY
2002
152views more  CONCURRENCY 2002»
15 years 3 months ago
The Legion Grid Portal
-- The Legion Grid Portal is an interface to a grid system. Users interact with the portal, and hence a grid through an intuitive interface from which they can view files, submit a...
Anand Natrajan, Anh Nguyen-Tuong, Marty Humphrey, ...
148
Voted
PADS
2000
ACM
15 years 7 months ago
Applying parallel discrete event simulation to network emulation
The simulation of wide area computer networks is one area where the benefits of parallel simulation have been clearly demonstrated. Here we present a description of a system that...
Rob Simmonds, Russell Bradford, Brian Unger
CCS
2010
ACM
15 years 2 months ago
Protecting location privacy against inference attacks
GPS-enabled mobile devices are a quickly growing market and users are starting to share their location information with each other through services such as Google Latitude. Locati...
Kazuhiro Minami, Nikita Borisov