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Optimizing text quantifiers for multivariate loss functions

Articolo
Data di Pubblicazione:
2015
Abstract:
Quantification - also known as class prior estimation - is the task of estimating the relative frequencies of classes in application scenarios in which such frequencies may change over time. This task is becoming increasingly important for the analysis of large and complex datasets. Researchers from ISTI-CNR, Pisa, are working with supervised learning methods explicitly devised with quantification in mind.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Text quantification
Elenco autori:
Esuli, Andrea; Sebastiani, Fabrizio
Autori di Ateneo:
ESULI ANDREA
SEBASTIANI FABRIZIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/258516
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/258516/45625/prod_294303-doc_84459.pdf
Pubblicato in:
ERCIM NEWS
Journal
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URL

http://ercim-news.ercim.eu/images/stories/EN100/EN100-web.pdf
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