Learning algorithms for sparse classification
This thesis deals with the development of estimation algorithms with embedded feature selection the context of high dimensional data, in the supervised and unsupervised frameworks. The contributions of this work are materialized by two algorithms, GLOSS for the supervised domain and Mix-GLOSS for un...
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Language: | ENG |
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Université de Technologie de Compiègne
2013
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Online Access: | http://tel.archives-ouvertes.fr/tel-00868847 http://tel.archives-ouvertes.fr/docs/00/86/88/47/PDF/These_UTC_Luis_Francisco_Sanchez_Merchante.pdf |