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ML
2007
ACM
192views Machine Learning» more  ML 2007»
14 years 9 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
IPL
2010
112views more  IPL 2010»
14 years 8 months ago
The cost of probabilistic agreement in oblivious robot networks
In this paper, we look at the time complexity of two agreement problems in networks of oblivious mobile robots, namely, at the gathering and scattering problems. Given a set of ro...
Julien Clement, Xavier Défago, Maria Gradin...
ICASSP
2011
IEEE
14 years 1 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...
GLOBECOM
2007
IEEE
15 years 4 months ago
Constrained Stochastic Games in Wireless Networks
—We consider the situation where N nodes share a common access point. With each node i there is an associated buffer and channel state that change in time. Node i dynamically cho...
Eitan Altaian, Konstantin Avrachenkov, Nicolas Bon...
84
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DIALM
2000
ACM
112views Algorithms» more  DIALM 2000»
15 years 2 months ago
A decision-theoretic approach to resource allocation in wireless multimedia networks
The allocation of scarce spectral resources to support as many user applications as possible while maintaining reasonable quality of service is a fundamental problem in wireless c...
Zygmunt J. Haas, Joseph Y. Halpern, Erran L. Li, S...