16 search results - page 2 / 4 » A multiple testing procedure for input variable selection in... |
ESANN
2000
13 years 6 months ago
2000
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
DIS
2009
Springer
13 years 12 months ago
2009
Springer
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
IWANN
2009
Springer
13 years 12 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
NPL
2000
13 years 5 months ago
2000
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...