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» On Computing Functions with Uncertainty
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EOR
2007
100views more  EOR 2007»
13 years 9 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker
TRANSCI
2008
80views more  TRANSCI 2008»
13 years 9 months ago
An Efficient Method to Compute Traffic Assignment Problems with Elastic Demands
The traffic assignment problem with elastic demands can be formulated as an optimization problem, whose objective is sum of a congestion function and a disutility function. We pro...
Frédéric Babonneau, Jean-Philippe Vi...
ECCV
2000
Springer
14 years 11 months ago
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
The Singular Value Decomposition (SVD) of a matrix is a linear algebra tool that has been successfully applied to a wide variety of domains. The present paper is concerned with the...
Manolis I. A. Lourakis, Théodore Papadopoul...

Publication
922views
15 years 4 months ago
Multi-Class Active Learning for Image Classification
One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
IPPS
2007
IEEE
14 years 3 months ago
Reifying Control of Multi-Owned Network Resources
Communication delay is a key source of uncertainty in distributed systems. Existing approaches to reduce this uncertainty focus on maintaining sufficient surplus bandwidth; appli...
Nadeem Jamali, Chen Liu