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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Main Author: | Esuli, Andrea (auth) |
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Other Authors: | Fabris, Alessandro (auth), Moreo, Alejandro (auth), Sebastiani, Fabrizio (auth) |
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Cham
Springer Nature
2023
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Series: | The Information Retrieval Series
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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