Toward End-User Debugging of Machine-Learned Classifiers

11 years 3 months ago
Toward End-User Debugging of Machine-Learned Classifiers
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a generated “program” tailored specifically to the behaviors of that end user, telling the computer what to do when future inputs arrive. Researchers, however, have only recently begun to explore how an end user can debug these programs when they make mistakes. We present our progress toward enabling end users to test and debug learned programs so that everyone can benefit from intelligent programs adapted to their specific tasks and situations.
Todd Kulesza
Added 31 Jan 2011
Updated 31 Jan 2011
Type Journal
Year 2010
Where VL
Authors Todd Kulesza
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