Learning to Quantify

Learning to Quantify

Show other versions (2)

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...

Full description

Saved in:
Bibliographic Details
Main Author: Esuli, Andrea (auth)
Other Authors: Fabris, Alessandro (auth), Moreo, Alejandro (auth), Sebastiani, Fabrizio (auth)
Format: Electronic Book Chapter
Language:English
Published: Cham Springer Nature 2023
Series:The Information Retrieval Series
Subjects:
Information retrieval
Data mining
Machine learning
Information Retrieval
Machine Learning
Supervised Learning
Data Mining
Prevalence Estimation
Class Prior Estimation
Data Science
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items