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 to classif...
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | Inglés |
| Published: |
Cham :
Springer International Publishing
2023.
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| Edition: | 1st ed. 2023. |
| Series: | The Information Retrieval Series,
47 |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009741124606719 |
Table of Contents:
- - 1. The Case for Quantification. - 2. Applications of Quantification. - 3. Evaluation of Quantification Algorithms. - 4. Methods for Learning to Quantify. - 5. Advanced Topics. - 6. The Quantification Landscape. - 7. The Road Ahead.
