ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

@article{Simard2014ICEEN,
  title={ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems},
  author={Patrice Y. Simard and David Maxwell Chickering and Aparna Lakshmiratan and Denis Xavier Charles and L{\'e}on Bottou and Carlos Garcia Jurado Suarez and David Grangier and Saleema Amershi and Johan Verwey and Jina Suh},
  journal={CoRR},
  year={2014},
  volume={abs/1409.4814}
}
Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine towards accomplishing the task of interest. The learning machine leverages big data to find examples that maximize the training value of its interaction with the teacher. When the teacher is restricted to labeling examples selected by the machine, this problem is an instance of active learning. When the teacher can… CONTINUE READING
Highly Cited
This paper has 20 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 3 times over the past 90 days. VIEW TWEETS