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...

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Detaylı Bibliyografya
Yazar:	Esuli, Andrea (auth)
Diğer Yazarlar:	Fabris, Alessandro (auth), Moreo, Alejandro (auth), Sebastiani, Fabrizio (auth)
Materyal Türü:	Elektronik Kitap Bölümü
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Cham Springer Nature 2023
Seri Bilgileri:	The Information Retrieval Series
Konular:	Information retrieval Data mining Machine learning Information Retrieval Machine Learning Supervised Learning Data Mining Prevalence Estimation Class Prior Estimation Data Science
Online Erişim:	DOAB: download the publication DOAB: description of the publication
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Learning to Quantify Yazar: Esuli, Andrea, Fabris, Alessandro, Moreo, Alejandro, Sebastiani, Fabrizio

Baskı/Yayın Bilgisi 2023

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Elektronik Ekitap

Learning to Quantify Yazar: Esuli, Andrea

Baskı/Yayın Bilgisi 2023

OAPEN Library: download the publication
OAPEN Library: description of the publication

Elektronik Kitap Bölümü

Learning to Quantify

Learning to Quantify Yazar: Esuli, Andrea, Fabris, Alessandro, Moreo, Alejandro, Sebastiani, Fabrizio

Learning to Quantify Yazar: Esuli, Andrea

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