Publications
2013
1.
González-Castro, Víctor; Alaiz-Rodríguez, Rocío; Alegre, Enrique
Class distribution estimation based on the Hellinger distance Artículo de revista
En: Information Sciences, vol. 218, pp. 146–164, 2013, (Publisher: Elsevier).
Resumen | Enlaces | BibTeX | Etiquetas: Class Distribution Shift, Class Prior Probability Estimation, Hellinger Distance, Quantification
@article{gonzalez-castro_class_2013,
title = {Class distribution estimation based on the Hellinger distance},
author = {Víctor González-Castro and Rocío Alaiz-Rodríguez and Enrique Alegre},
url = {https://www.sciencedirect.com/science/article/pii/S0020025512004069},
year = {2013},
date = {2013-01-01},
journal = {Information Sciences},
volume = {218},
pages = {146–164},
abstract = {This work presents a novel quantification method for two-class problems using distributional divergence measures. It estimates class priors by minimizing Hellinger distance between test and controlled validation distributions. Experiments, including a boar semen quality control task, show improved accuracy over existing methods.},
note = {Publisher: Elsevier},
keywords = {Class Distribution Shift, Class Prior Probability Estimation, Hellinger Distance, Quantification},
pubstate = {published},
tppubtype = {article}
}
This work presents a novel quantification method for two-class problems using distributional divergence measures. It estimates class priors by minimizing Hellinger distance between test and controlled validation distributions. Experiments, including a boar semen quality control task, show improved accuracy over existing methods.