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WSC
2004
15 years 6 months ago
Stochastic Approximation with Simulated Annealing as an Approach to Global Discrete-Event Simulation Optimization
This paper explores an approach to global, stochastic, simulation optimization which combines stochastic approximation (SA) with simulated annealing (SAN). SA directs a search of ...
Matthew H. Jones, K. Preston White
MS
2003
15 years 6 months ago
Model-based Optimization of an Infrared Gas Sensor
Manufacturing test structures of microsensors and microactuators is very expensive in terms of time and materials. In a conventional design process, this limits the number of desi...
Ingo Sieber, Karl-Heinz Suphan
AAAI
2000
15 years 6 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
134
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ADHOCNOW
2008
Springer
15 years 6 months ago
Optimal Gathering Algorithms in Multi-hop Radio Tree-Networks ith Interferences
We study the problem of gathering information from the nodes of a multi-hop radio network into a pre-defined destination node under the interference constraints. In such a network...
Jean-Claude Bermond, Min-Li Yu
132
Voted
AHSWN
2010
105views more  AHSWN 2010»
15 years 5 months ago
Optimal Gathering Algorithms in Multi-Hop Radio Tree-Networks with Interferences
We study the problem of gathering information from the nodes of a multi-hop radio network into a pre-defined destination node under the interference constraints. In such a network,...
Jean-Claude Bermond, Min-Li Yu