'I can tell you what it's not': active learning from counterexamples

Nicolas Cebron; Fabian Richter; Rainer Lienhart

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'I can tell you what it's not': active learning from counterexamples

机译：“我可以告诉你这不是什么”：积极学习反例

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When dealingwith feedback from a human expert in a classification process, we usually think of obtaining the correct class label for an example. However, in many realworld settings, it may be much easier for the human expert to tell us to which classes the example does not belong. We propose a framework for this very practical setting to incorporate this kind of feedback. We demonstrate empirically that stable classification models can be built even in the case of partial not-label information and introduce a method to select useful training examples.

机译：当在分类过程中处理人类专家的反馈时，我们通常以获取正确的分类标签为例。但是，在许多现实世界中，人类专家可以更容易地告诉我们该示例不属于哪些类。我们为这种非常实际的环境提出了一个框架，以纳入这种反馈。我们凭经验证明即使在部分非标签信息的情况下也可以建立稳定的分类模型，并介绍一种选择有用的训练示例的方法。

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《Progress in Artificial Intelligence》 |2013年第4期|共11页
作者
Nicolas Cebron; Fabian Richter; Rainer Lienhart;
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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Classification; Human feedback; Active learning;

机译：分类;人类反馈;主动学习;

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1. "I can tell you what it's not": active learning from counterexamples [J] . Nicolas Cebron, Fabian Richter, Rainer Lienhart Progress in Artificial Intelligence . 2013,第4期

机译：“我可以告诉你这不是什么”：积极学习反例
2. Practical Active Learning Stations to Transform Existing Learning Environments Into Flexible, Active Learning Classrooms [J] . Eickholt Jesse, Johnson Matthew R., Seeling Patrick IEEE Transactions on Education . 2021,第2期

机译：实用的主动学习站将现有的学习环境转换为灵活，主动学习教室
3. DESIGNING LEARNING MEDIA OF CONTROL BASED ON MICRO CONTROLLER 8051 BY USING THE MCU 8051 IDE TO SUPPORT THE IMPLEMENTATION OF ACTIVE LEARNING IN HIGHER EDUCATION-ALFHE (ACTIVE LEARNING FOR HIGHER EDUCATION) [J] . DAHLAN R P SITOMPUL, POLTAK SIHOMBING International Journal of Electronics Communication and Instrumentation Engineering Research and Development . 2016,第1期

机译：通过使用MCU 8051 IDE支持基于微控制器8051的控制学习媒体，以支持在高校学生中开展主动学习（主动学习）
4. The Role of Counterexamples in Discovery Learning Environment: Awareness of the Chance for Learning [C] . Tomoya Horiguchi, Tsukasa Hirashima Joint JSAI(Japanese Society for Artificial Intelligence) 2001 Workshop on New Frontiers in Artificial Intelligence, May 20-25, 2001, Matsue City, Japan . 2001

机译：反例在发现学习环境中的作用：对学习机会的意识
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. A Bridge to Active Learning: A Summer Bridge Program Helps Students Maximize Their Active-Learning Experiences and the Active-Learning Experiences of Others [O] . Katelyn M. Cooper, Michael Ashley, Sara E. Brownell 2017

机译：通往主动学习的桥梁：夏季桥梁计划可帮助学生最大程度地发挥主动学习经验和他人的主动学习经验
7. “I can tell you what it’s not”: active learning from counterexamples [O] . Nicolas Cebron, Fabian Richter, Rainer Lienhart 2012

机译：“我可以告诉你它不是什么”：从反例中的主动学习
8. Response to Bertsekas' A Counterexample to Temporal-Differences Learning [R] . Harmon, M. E., Baird, L. C. 1996

机译：回应Bertsekas对时间差异学习的反例

'I can tell you what it's not': active learning from counterexamples

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