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
47 |
Subjects: | |
Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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