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ANSS
2005
IEEE
15 years 9 months ago
Approximation Techniques for the Analysis of Large Traffic-Groomed Tandem Optical Networks
We consider a traffic-groomed optical network consisting of N nodes arranged in tandem. This optical network is modeled by a tandem queueing network of multi-rate loss queues with...
Alicia Nicki Washington, Chih-Chieh Hsu, Harry G. ...
SIROCCO
2008
15 years 5 months ago
Distributed Approximation Algorithm for Resource Clustering
In this paper, we consider the clustering of resources on large scale platforms. More precisely, we target parallel applications consisting of independant tasks, where each task is...
Olivier Beaumont, Nicolas Bonichon, Philippe Ducho...
WSCG
2003
136views more  WSCG 2003»
15 years 5 months ago
Piecewise Circular Approximation of Spirals and Polar Polynomials
Spirals are surprisingly common in science, nature, physics, astronomy, flora and fauna, and the arts. In Cartesian coordinates they are typically transcendental functions, which ...
Francesca Taponecco, Marc Alexa
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 3 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
ICML
2004
IEEE
16 years 4 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh