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IPPS
2007
IEEE
14 years 1 months ago
Domain Decomposition vs. Master-Slave in Apparently Homogeneous Systems
This paper investigates the utilization of the master-slave (MS) paradigm as an alternative to domain decomposition (DD) methods for parallelizing lattice gauge theory (LGT) model...
Cyril Banino-Rokkones
CIMCA
2005
IEEE
14 years 10 days ago
An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
NIPS
2007
13 years 8 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
AUTOMATICA
2008
89views more  AUTOMATICA 2008»
13 years 6 months ago
Dynamic buffer management using optimal control of hybrid systems
This paper studies a general dynamic buffer management problem with one buffer inserted between two interacting components. The component to be controlled is assumed to have multi...
Wei Zhang, Jianghai Hu
NIPS
2003
13 years 8 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis