Questionnaire: Interactive Machine Learning @ IJCAI 2016
The goal of the workshop is to bring together researchers to discuss the design and analysis of algorithms that facilitate Interactive Machine learning (IML) systems. With that goal in mind, this questionnaire is being used to chart the current research activities in the field, understand the practices, applications, future challenges and opportunities. Our hope is that the resulting responses could act as a manifesto for IML, which can help students and researchers become familiar with the field and identify research opportunities. Please take a few minutes to fill out your responses to the questions below. We really appreciate your time and assistance!
- IML team
Which professional group are you associated with?
How many years of experience do you have with interactive machine learning?
In your opinion what is the current challenge faced in this field of research?
What learning techniques have you found to be useful for IML?
Which interaction modality between humans and machines do you find to be effective?
How do you deal with learning from non-expert end-users?
Which application domain for interactive learning are you interested in?
What future research directions should drive the community as a whole for real-world IML?
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