77 search results - page 5 / 16 » Markov Approximation for Combinatorial Network Optimization |
109
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ALGOSENSORS
2007
Springer
15 years 1 months ago
2007
Springer
We study the problem of localizing and tracking multiple moving targets in wireless sensor networks, from a network design perspective i.e. towards estimating the least possible n...
CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
JMLR
2010
14 years 4 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
103
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ML
2007
ACM
14 years 9 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...