Learning to Quantify

by Alejandro Moreo, Alessandro Fabris, Andrea Esuli

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 classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier...

• Format: Hardcover
• Language: English
• ISBN: 3031204662
• ISBN13: 9783031204661
• Release Date: March 2023
• Publisher: Springer
• Length: 137 Pages
• Weight: 0.50 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"