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Eliciting good teaching from humans for machine learners

  • Published:2014-12 Issue: Volume:217 Page:198-215
  • ISSN:0004-3702
  • Container-title:Artificial Intelligence
  • language:en
  • Short-container-title:Artificial Intelligence

Author:

Cakmak Maya,Thomaz Andrea L.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference45 articles.

1. Effective end-user interaction with machine learning;Amershi,2012

2. Queries and concept learning;Angluin;Mach. Learn.,1988

3. Recent developments in algorithmic teaching;Balbach,2009

4. Curriculum learning;Bengio,2009

5. Algorithmic and human teaching of sequential decision tasks;Cakmak,2012

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1. How Non-experts Kinesthetically Teach a Robot over Multiple Sessions: Diversity in Teaching Styles and Effects on Performance;International Journal of Social Robotics;2024-08-23

2. Comparing Teaching Strategies of a Machine Learning-based Prosthetic Arm;Proceedings of the 29th International Conference on Intelligent User Interfaces;2024-03-18

3. Human Expectations and Perceptions of Learning in Machine Teaching;Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization;2023-06-18

4. Online task segmentation by merging symbolic and data-driven skill recognition during kinesthetic teaching;Robotics and Autonomous Systems;2023-04

5. ASSBert: Active and semi-supervised bert for smart contract vulnerability detection;Journal of Information Security and Applications;2023-03
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