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» A New Migration Model For Distributed Genetic Algorithms
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NIPS
1998
13 years 9 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
SIGIR
2010
ACM
13 years 12 months ago
Hierarchical pitman-yor language model for information retrieval
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
Saeedeh Momtazi, Dietrich Klakow
JCM
2007
140views more  JCM 2007»
13 years 7 months ago
A Dynamic Scheduling Algorithm for Divisible Loads in Grid Environments
—Divisible loads are those workloads that can be partitioned by a scheduler into any arbitrary chunks. The problem of scheduling divisible loads has been defined for a long time,...
Nguyen The Loc, Said Elnaffar
MOBIHOC
2005
ACM
14 years 7 months ago
A distributed coordination framework for wireless sensor and actor networks
Wireless Sensor and Actor Networks (WSANs) are composed of a large number of heterogeneous nodes called sensors and actors. The collaborative operation of sensors enables the dist...
Tommaso Melodia, Dario Pompili, Vehbi C. Gungor, I...
SIGGRAPH
1998
ACM
14 years 6 days ago
A Perceptually Based Adaptive Sampling Algorithm
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
Mark R. Bolin, Gary W. Meyer