Local variational Probabilistic Minimax Active Learning

作者：

Highlights：

• Logistic regression which is a workhorse for statistical learning, is used to estimate Probabilistic Minimax Active Learning (PMAL) objective function.

• A Local variational approximation of PMAL with logistic regression has been proposed.

• An active learning algorithm based on the local variational approximation of logistic PMAL objective shows superior results.

摘要

•Logistic regression which is a workhorse for statistical learning, is used to estimate Probabilistic Minimax Active Learning (PMAL) objective function.•A Local variational approximation of PMAL with logistic regression has been proposed.•An active learning algorithm based on the local variational approximation of logistic PMAL objective shows superior results.

论文关键词：Probabilistic Minimax Active Learning,Local variational,Logistic regression

论文评审过程：Received 29 August 2021, Revised 29 May 2022, Accepted 11 August 2022, Available online 22 August 2022, Version of Record 30 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118538