40 search results - page 3 / 8 » Random Descent |
CORR
2008
Springer
13 years 10 months ago
2008
Springer
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
ASPDAC
1995
ACM
14 years 1 months ago
1995
ACM
- We address the problem of transforming a behavioral specification so that synthesis of a testable implementation from the new specification requires significantly less area and ...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
We consider distributed algorithms to optimize random access multihop wireless networks in the presence of fading. Since the associated optimization problem is neither convex nor ...