491 search results - page 3 / 99 » Parallel Implementation of a Generalized Conjugate Gradient ... |
ICCS
2009
Springer
14 years 9 days ago
2009
Springer
The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In this work, we utilize GPU’s high memory bandwidth for implementation of a sparse iterative...
JMLR
2010
13 years 16 days ago
2010
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper deals with the minimal polyadic decomposition (also known as canonical decomposition or Parafac) of a 3way array, assuming each entry is positive. In this case, the low...
IJCAI
2007
13 years 7 months ago
2007
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
PPSC
1993
13 years 7 months ago
1993
We will present a matrix framework for the conjugate gradient methods, which is expressed in terms of whole vector sequences instead of single vectors or initial parts of sequence...