Rejoinder on: 'On active learning methods for manifold data'

Li Hang; Del Castillo Enrique; Runger George

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Rejoinder on: 'On active learning methods for manifold data'

机译：REJOINDED：“关于流形数据的主动学习方法”

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We thank the discussants for their comments and careful reading of our manuscript, which have enhanced and complemented our presentation. We also thank the editors of TEST for this opportunity to clarify some aspects of our work in more detail. In what follows, we first address some points touched by both sets of discussants, and then consider comments made individually by each of them. We conclude with a description of a method that can improve the speed of the retraining required in the SSGP-AL method when used for classification by re-using previous learning as opposed to re-estimating the GP model from scratch at each AL cycle.

机译：我们感谢讨论者的意见，仔细阅读我们的稿件，这些稿件增强并补充了我们的演示文稿。我们还感谢编辑的考试，了解有机会更详细地澄清我们工作的某些方面。在下面的情况下，我们首先解决两套讨论者触及的一些点，然后考虑每个每个讨论者的评论。我们结论，当通过重新使用先前学习时，可以通过对分类时可以提高SSGP-AL方法中所需的速度的方法的结论，而不是在每个AL循环处从划痕重新估算GP模型。

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《Test: An Official Journal of the Spanish Society of Statistics and Operations Research》 |2020年第1期|共8页
作者
Li Hang; Del Castillo Enrique; Runger George;
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作者单位

Penn State Univ Harold &

Inge Marcus Dept Ind &

Mfg Engn State Coll PA USA;

Penn State Univ Harold &

Inge Marcus Dept Ind &

Mfg Engn State Coll PA USA;

Arizona State Univ Dept Biomed Informat Tempe AZ USA;

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原文格式 PDF
正文语种 eng
中图分类计量学;概率论与数理统计;
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1. Rejoinder on: "On active learning methods for manifold data" [J] . Li Hang, Del Castillo Enrique, Runger George Test: An Official Journal of the Spanish Society of Statistics and Operations Research . 2020,第1期

机译：REJOINDED：“关于流形数据的主动学习方法”
2. On active learning methods for manifold data [J] . Li Hang, Del Castillo Enrique, Runger George Test: An Official Journal of the Spanish Society of Statistics and Operations Research . 2020,第1期

机译：流动数据的主动学习方法
3. Comments on: On active learning methods for manifold data [J] . Ghosh Abhik Test: An Official Journal of the Spanish Society of Statistics and Operations Research . 2020,第1期

机译：评论：关于流形数据的主动学习方法
4. Active Manifold Learning with Twitter Big Data [C] . Catarina Silva, Mário Antunes, Joana Costa, INNS Conference on Big Data . 2016

机译：与Twitter大数据一起主动歧管学习
5. Active learning with support vector machines for imbalanced datasets and a method for stopping active learning based on stabilizing predictions. [D] . Bloodgood, Michael. 2009

机译：支持向量机用于不平衡数据集的主动学习，以及一种基于稳定预测的主动学习停止方法。
6. An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty [O] . Xiaowei Fu, Hui Wang, Bin Li, 2018

机译：不确定性下基于主动学习和流形学习的高效采样算法用于多种无人机任务分配
7. Active Manifold Learning with Twitter Big Data [O] . Silva Catarina, Antunes Mário, Costa Joana, 2015

机译：使用Twitter大数据进行主动流形学习
8. Computing Science: Organised Chaos Learning Outcomes from Trialling Active Learning Methods in Computing Science [R] . Devlin, M., Phillips, C., Marshall, L. 2008

机译：计算科学：有组织的混沌学习计算科学中的主动学习方法的成果

Rejoinder on: 'On active learning methods for manifold data'

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