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Learning to Quantify

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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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Main Authors: Esuli, Andrea (Author), Fabris, Alessandro (Author), Moreo, Alejandro (Author), Sebastiani, Fabrizio (Author)
Korporativna značnica: SpringerLink (Online service)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer International Publishing : Imprint: Springer, 2023.
Izdaja:1st ed. 2023.
Serija:The Information Retrieval Series, 47
Teme:
Information storage and retrieval systems.
Data mining.
Machine learning.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Machine Learning.
Online dostop:Link to Metadata
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