DocumentCode
950399
Title
HCC implications for the procurement process
Author
O´Leary, D.E.
Author_Institution
Univ. of Southern California, CA
Volume
21
Issue
3
fYear
2006
Firstpage
74
Lastpage
81
Abstract
AI research has done much over the years to facilitate intelligent guessing. Rule-based systems using information about symptoms help solve medical questions given limited information, even helping the user ferret out the important information. Neural networks combine information about multiple variables to solve several guessing situations. Uncertainty representations help guide users to guessing insights about a wide range of problems including machine fault problems. Knowledge discovery can generate profiles or discover unique relationships among variables. These and other AI areas are steeped in guessing. However, the solution approaches are relatively independent of each other
Keywords
artificial intelligence; knowledge based systems; AI research; intelligent guessing; knowledge discovery; machine fault problem; neural networks; rule-based system; uncertainty representation; Dictionaries; Frequency; Guidelines; Humans; Intelligent systems; Knowledge based systems; Random processes; Security; TV; Testing; artificial intelligence; research and development;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2006.51
Filename
1637357
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