287 search results - page 10 / 58 » A discrete-time parallel update algorithm for distributed le... |
CPHYSICS
2008
13 years 9 months ago
2008
A scalable parallel algorithm has been designed to perform multimillion-atom molecular dynamics (MD) simulations, in which first principlesbased reactive force fields (ReaxFF) des...
ICDCS
2000
IEEE
14 years 1 months ago
2000
IEEE
Creating replicas of frequently accessed objects across a read-intensive network can result in large bandwidth savings which, in turn, can lead to reduction in user response time....
NECO
2007
13 years 8 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
EUROPAR
2007
Springer
14 years 3 months ago
2007
Springer
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
ICML
2009
IEEE
14 years 3 months ago
2009
IEEE
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...