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KCAP
2011
ACM

Integrating knowledge capture and supervised learning through a human-computer interface

7 years 8 months ago
Integrating knowledge capture and supervised learning through a human-computer interface
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this additional information often requires an indepth understanding of the specific knowledge representation used by a given learning algorithm. The requirement to use a formal knowledge-representation language means that most domain experts will not be able to articulate their expertise, even when a learning algorithm is capable of exploiting such valuable information. We investigate a method to ease this knowledge acquisition through the use of a graphical, human-computer interface. Our interface allows users to easily provide advice about specific examples, rather than requiring them to provide general rules; we leave the task of properly generalizing such advice to the learning algorithms. We demonstrate the effectiveness of our approach using the Wargus real-time strategy game, comparing learning with no advic...
Trevor Walker, Gautam Kunapuli, Noah Larsen, David
Added 16 Sep 2011
Updated 16 Sep 2011
Type Journal
Year 2011
Where KCAP
Authors Trevor Walker, Gautam Kunapuli, Noah Larsen, David Page, Jude W. Shavlik
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