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 Authors: | Esuli, Andrea (Author), Fabris, Alessandro (Author), Moreo, Alejandro (Author), Sebastiani, Fabrizio (Author) |
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Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
Edition: | 1st ed. 2023. |
Series: | The Information Retrieval Series,
47 |
Subjects: | |
Online Access: | Link to Metadata |
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