Jun 2, 2024 · We apply the framework to the SMARTedit programming by demonstration system and describe experimental validation and preliminary user feedback.

ABSTRACT. Applications of machine learning can be viewed as teacher- student interactions in which the teacher provides train-.

In this paper, we propose that interfaces for machine learning should even more closely resemble human teacher-student relationships.

Mixed Initiative Interfaces for Learning Tasks: SMARTedit Talks Back Steven A. Wolfman Tessa Lau Pedro Domingos Daniel S. Weld Department of Computer ...

Wolfman, Tessa Lau, Pedro Domingos, & Daniel S. Weld. Mixed Initiative Interfaces for Learning Tasks: SMARTedit Talks Back [compressed version]. To be published ...

... {Mixed Initiative Interfaces for Learning Tasks: {SMARTedit} Talks Back}, booktitle= {Proceedings of IUI'01: the 2001 International Conference on Intelligent ...

Mixed initiative interfaces for learning tasks: SMARTedit talks back. IUI '01: Proceedings of the 6th international conference on Intelligent user interfaces.

2014. Mixed initiative interfaces for learning tasks: Smartedit talks back. SA Wolfman, T Lau, P Domingos, DS Weld. Proceedings of the 6th international ...

Mixed initiative interfaces for learning tasks: Smartedit talks back. SA Wolfman, T Lau, P Domingos, DS Weld. Proceedings of the 6th international conference ...

An intelligent user interface for mixed-initiative multi-source travel planning. ... Mixed initiative interfaces for learning tasks: Smartedit talks back. In ...