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MOC
2010
13 years 2 months ago
A projection-based error analysis of HDG methods
Abstract. We introduce a new technique for the error analysis of hybridizable discontinuous Galerkin (HDG) methods. The technique relies on the use of a new projection whose design...
Bernardo Cockburn, Jayadeep Gopalakrishnan, Franci...
NIPS
2008
13 years 8 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 7 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang
SIGMETRICS
2002
ACM
142views Hardware» more  SIGMETRICS 2002»
13 years 7 months ago
Probabilistic scalable P2P resource location services
Scalable resource discovery services form the core of directory and other middleware services. Scalability requirements preclude centralized solutions. The need to have directory ...
Daniel A. Menascé, Lavanya Kanchanapalli
ICCAD
2003
IEEE
158views Hardware» more  ICCAD 2003»
14 years 4 months ago
Approaching the Maximum Energy Saving on Embedded Systems with Multiple Voltages
Dynamic voltage scaling (DVS) is arguably the most effective energy reduction technique. The multiple-voltage DVS systems, which can operate only at pre-determined discrete voltag...
Shaoxiong Hua, Gang Qu