Human Comprehensible Machine Learning
Papers from the 2005 AAAI Workshop
Dan Oblinger, Program Chair
Technical Report WS-05-05 published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Organizing Committee / 1
Dan Oblinger
Applying Programming by Demonstration in an Intelligent Authoring Tool for Cognitive Tutors / 1
Noboru Matsuda, William W. Cohen, and Kenneth R. Koedinger
Real-Time Interactive Reinforcement Learning for Robots / 9
Andrea Lockerd Thomaz, Guy Hoffman, and Cynthia Breazeal
Predicting User Tasks: I Know What You’re Doing! / 14
Simone Stumpf, Xinlong Bao, Anton Dragunov, Thomas G. Dietterich, Jon Herlocker, Kevin Johnsrude, Lida Li, and JianQiang Shen
TRIPPER: Rule Learning Using Taxonomies / 20
Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, and Vasant Honavar
Comprehensibility of Generative vs. Class Discriminative Dynamic Bayesian Multinets / 28
John Burge and Terran Lane
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