5866 search results - page 79 / 1174 » An e-Process Selection Model |
146
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CGO
2010
IEEE
15 years 11 months ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
121
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EOR
2006
15 years 4 months ago
2006
A stochastic formulation of the Analytic Hierarchy Process (AHP) using an approach based on Bayesian categorical data models has been developed. However, in categorical data model...
151
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FSKD
2007
Springer
15 years 10 months ago
2007
Springer
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
126
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IPSN
2005
Springer
15 years 9 months ago
2005
Springer
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
129
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NN
2008
Springer
15 years 4 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...