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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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Bibliografische gegevens
Hoofdauteur: Esuli, Andrea (auth)
Andere auteurs: Fabris, Alessandro (auth), Moreo, Alejandro (auth), Sebastiani, Fabrizio (auth)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: Cham Springer Nature 2023
Reeks:The Information Retrieval Series 47
Onderwerpen:
Information retrieval
Data mining
Machine learning
Information Retrieval
Machine Learning
Supervised Learning
Data Mining
Prevalence Estimation
Class Prior Estimation
Data Science
Online toegang:OAPEN Library: download the publication
OAPEN Library: description of the publication
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