554 search results - page 39 / 111 » Variable selection using neural-network models |
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IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
102
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— It is a challenging task for multiple robots working together to realize object transportation. This paper studies a practical situation that a group of mobile manipulators are...
DAWAK
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
CSDA
2006
14 years 9 months ago
2006
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
CGO
2010
IEEE
15 years 4 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...