Learning to Quantify
Overview & Synopsis
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.
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freecomputerbooks.com)
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Document Information
| Document Title | Learning to Quantify |
|---|---|
| Author / Organization | Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani |
| Subject & Discipline | Machine Learning, Information Retrieval (IR) and Search Engines, Data Analysis and Data Mining |
| Categories | Machine Learning |
| Publication Year | 2023 |
| ISBN | 3031204662 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-261485 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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