Learning to Quantify

This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classif...

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Hlavní autoři:	Esuli, Andrea, Fabris, Alessandro, Moreo, Alejandro, Sebastiani, Fabrizio
Médium:	Online
Jazyk:	angličtina
Vydáno:	Springer Nature 2023
Témata:	Information Retrieval Machine Learning Supervised Learning Data Mining Prevalence Estimation Class Prior Estimation Data Science thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
On-line přístup:	ONIX_20230413_9783031204678_16
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