SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models

by Fernando Pavon, Jesus Vega, Sebastian Dormido Canto
Reference:
SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models (Fernando Pavon, Jesus Vega, Sebastian Dormido Canto), In STATISTICAL LEARNING AND DATA SCIENCES (A Gammerman, V Vovk, H Papadopoulos, eds.), volume 9047, 2015. (3rd International Symposium on Statistical Learning and Data Sciences (SLDS), Royal Holloway Univ London, Egham, ENGLAND, APR 20-23, 2015)
Bibtex Entry:
@inproceedings{ ISI:000361990900032,
Author = {Pavon, Fernando and Vega, Jesus and Dormido Canto, Sebastian},
Editor = {{Gammerman, A and Vovk, V and Papadopoulos, H}},
Title = {{SOM and Feature Weights Based Method for Dimensionality Reduction in
   Large Gauss Linear Models}},
Booktitle = {{STATISTICAL LEARNING AND DATA SCIENCES}},
Series = {{Lecture Notes in Artificial Intelligence}},
Year = {{2015}},
Volume = {{9047}},
Pages = {{376-385}},
Note = {{3rd International Symposium on Statistical Learning and Data Sciences
   (SLDS), Royal Holloway Univ London, Egham, ENGLAND, APR 20-23, 2015}},
Organization = {{Royal Stat Soc; British Comp Soc Acad Comp; British Classificat Soc;
   Paris Dauphine Univ; CEREMADE}},
DOI = {{10.1007/978-3-319-17091-6_32}},
ISSN = {{0302-9743}},
ISBN = {{978-3-319-17091-6; 978-3-319-17090-9}},
Unique-ID = {{ISI:000361990900032}},
}

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