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...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Esuli, Andrea, Fabris, Alessandro, Moreo, Alejandro, Sebastiani, Fabrizio
Materiálatiipa:	Online
Giella:	eaŋgalasgiella
Almmustuhtton:	Springer Nature 2023
Fáttát:	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
Liŋkkat:	ONIX_20230413_9783031204678_16
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!