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SIAMCO
2000
117views more  SIAMCO 2000»
15 years 4 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn
BMCBI
2005
108views more  BMCBI 2005»
15 years 4 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
DAC
2004
ACM
16 years 6 months ago
Statistical optimization of leakage power considering process variations using dual-Vth and sizing
timing analysis tools to replace standard deterministic static timing analyzers whereas [8,27] develop approaches for the statistical estimation of leakage power considering within...
Ashish Srivastava, Dennis Sylvester, David Blaauw
140
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ICIP
2005
IEEE
16 years 6 months ago
Dependent bit allocation in multiview video coding
We consider the bit allocation problem in multiview video coding (MVC). A dependent coding technique using trellis expansion and the Viterbi algorithm (VA) is proposed, which take...
Jae Hoon Kim, Jonathan Garcia, Antonio Ortega
IPPS
2002
IEEE
15 years 10 months ago
High-Performance Parallel and Distributed Computing for the BMI Eigenvalue Problem
The BMI Eigenvalue Problem is one of optimization problems and is to minimize the greatest eigenvalue of a bilinear matrix function. This paper proposes a parallel algorithm to co...
Kento Aida, Yoshiaki Futakata, Shinji Hara