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Overview and recent advances in partial least squares

Author
ROSIPAL, Roman1 ; KRAMER, Nicole2
[1] Austrian Research Institute for Artificial Intelligence, Freyung 6/6, 1010 Vienna, Austria
[2] TU Berlin, Department of Computer Science and Electrical Engineering, Franklinstrasse 28/29, 10587 Berlin, Germany
Conference title
Subspace, latent structure and feature selection (Statistical and Optimization Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005)
Conference name
SLSFS 2005 (Bohinj 2005)
Source

Lecture notes in computer science. 2006 ; 1Vol, pp 34-51, 18 p ; ref : 53 ref

ISSN
0302-9743
ISBN
3-540-34137-4
Scientific domain
Computer science
Publisher
Springer, Berlin / Springer, New York
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Analyse statistique Moindre carré partiel Méthode sous espace
Keyword (en)
Statistical analysis Partial least squares Subspace method
Keyword (es)
Análisis estadístico Minimos cuadrados parciales Método subespacio
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing

Discipline
Computer science : theoretical automation and systems Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
19910432

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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