EigenSense: Saving User Effort with Active Metric Learning.

Chang, Remco.

Brown, Eli.

2014.

Description
  • Research in interactive machine learning has shown the effectiveness of live human interaction with machine learning algorithms in many applications. Metric learning is a common type of algorithm employed in this context, using feedback from users to learn a distance metric over the data that encapsulares their own understanding. Less progress has been made on helping users decide which data to ex... read more
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  • Brown, Eli T. and Remco Chang. "EigenSense: Saving User Effort with Active Metric Learning." Paper presented at Workshop on on Interactive Data Exploration and Analytics (IDEA), KDD2014, New York, New York, August 24-27, 2014.
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t435gq901
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