Active learning for the optimal design of multinomial classification in physics

Optimal design for model training is a critical topic in machine learning. Active learning aims at obtaining improved models by querying samples with maximum uncertainty according to the estimation model for artificially labeling; this has the additional advantage of achieving successful performance...

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Bibliographic Details
Main Authors: Yongcheng Ding, José D. Martín-Guerrero, Yujing Song, Rafael Magdalena-Benedicto, Xi Chen
Format: Article
Language:English
Published: American Physical Society 2022-03-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.4.013213