A Machine Learning Method Suitable for Dynamic Domains
Description:
The efficacy of a machine learning technique is domain dependent. Some machine learning techniques work very well for certain domains but are ill-suited for other domains. One area that is of real-world concern is the flexibility with which machine learning techniques can adapt to dynamic domains. Currently, there are no known reports of any system that can learn dynamic domains, short of starting over (i.e., re-running the program). Starting over is neither time nor cost efficient for real-wor…
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Date:
July 1996
Creator:
Rowe, Michael C. (Michael Charles)
Partner:
UNT Libraries