Istituto di Scienza e Tecnologie dell'Informazione     
Esuli A., Sebastiani F. Optimizing text quantifiers for multivariate loss functions. In: ERCIM News, vol. 100 pp. 49 - 49. ERCIM, 2015.
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.
URL: http://ercim-news.ercim.eu/images/stories/EN100/EN100-web.pdf
Subject Text quantification
I.2.6 Learning

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