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

by Pavon, Fernando, Vega, Jesus and Dormido Canto, Sebastian
Reference:
SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models (Pavon, Fernando, Vega, Jesus and Dormido Canto, Sebastian), In STATISTICAL LEARNING AND DATA SCIENCES (Gammerman, A, Vovk, V, Papadopoulos, H, eds.), volume 9047, 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}},
}

This entry was posted by . Bookmark the permalink.