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Preferential text classification: learning algorithms and evaluation measures

Academic Article
Publication Date:
2009
abstract:
Researchers from ISTI-CNR, Pisa and from the Department of Pure and Applied Mathematics at the University of Padova, are explicitly attacking the document classification problem of distinguishing primary from secondary classes by using 'preferential learning' technology.
Iris type:
01.01 Articolo in rivista
Keywords:
I.2.6 Learning; I.5.2 Design Methodology. Classifier design and evaluation; Preferential Learning; Text classification; Ordinal regression
List of contributors:
Sebastiani, Fabrizio
Authors of the University:
SEBASTIANI FABRIZIO
Handle:
https://iris.cnr.it/handle/20.500.14243/63049
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/63049/85913/prod_68481-doc_130799.pdf
Published in:
ERCIM NEWS
Journal
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