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» Simulation Optimization Research and Development
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CCR
2004
90views more  CCR 2004»
15 years 3 months ago
A constraint satisfaction approach to testbed embedding services
Today's networking community is becoming increasingly skeptical of the significance of research results founded wholly upon experimental results conducted in simulation. Now, ...
Jeffrey Considine, John W. Byers, Ketan Meyer-Pate...
293
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Book
5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
LSSC
2005
Springer
15 years 8 months ago
Ant Algorithm for Grid Scheduling Problem
Abstract. Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geog...
Stefka Fidanova, Mariya K. Durchova
VLDB
2004
ACM
158views Database» more  VLDB 2004»
15 years 8 months ago
REHIST: Relative Error Histogram Construction Algorithms
Histograms and Wavelet synopses provide useful tools in query optimization and approximate query answering. Traditional histogram construction algorithms, such as V-Optimal, optim...
Sudipto Guha, Kyuseok Shim, Jungchul Woo
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 8 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui