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Nov, 2016
逻辑回归主动学习的基准和比较
A Benchmark and Comparison of Active Learning for Logistic Regression
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Yazhou Yang, Marco Loog
TL;DR
本文介绍了最常用的分类器之一-逻辑回归的主要应用和性能,比较了不同的主动学习方法在准确性和计算成本方面的表现,并且发现最简单和最早期的主动学习方法-不确定性采样,表现优越。
Abstract
Various
active learning
methods based on
logistic regression
have been proposed. In this paper, we investigate seven state-of-the-art strategies, present an extensive benchmark, and provide a better understanding
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