Learning to Quantify: Estimating Class Prevalence via Supervised Learning.

Alejandro Moreo|Fabrizio Sebastiani


Anthology ID:DBLP:conf/sigir/Moreo019
Volume:Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.
Year:2019
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1415-1416
URL:https://doi.org/10.1145/3331184.3331389
DOI:https://doi.org/10.1145/3331184.3331389
DBLP:conf/sigir/Moreo019
BibTeX:
@inproceedings{moreo-2019-learning, author = {Alejandro Moreo and Fabrizio Sebastiani}, editor = {Benjamin Piwowarski and Max Chevalier and \'{E}ric Gaussier and Yoelle Maarek and Jian-Yun Nie and Falk Scholer}, title = {{Learning to Quantify: Estimating Class Prevalence via Supervised Learning}}, booktitle = {{Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019}}, pages = {1415--1416}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3331184.3331389}, doi = {https://doi.org/10.1145/3331184.3331389} }