DocumentCode
145259
Title
Reverse Multiple-Choice Based Clustering for Machine Learning and Knowledge Acquisition
Author
Anand, Indu M.
Author_Institution
Math. Sci., UMass-Lowell, Lowell, MA, USA
Volume
1
fYear
2014
fDate
10-13 March 2014
Firstpage
431
Lastpage
436
Abstract
A system of communication, where at least one communicant is a machine, may be based on "Reverse Multiple-Choice Method," introduced by the present author for teaching and testing, that employs novel techniques based on the familiar multiple-choice format. The method may be used to train a machine for knowledge engineering and artificial intelligence, or for a trained machine to assist a human being in teaching, training or testing.
Keywords
knowledge acquisition; learning (artificial intelligence); pattern clustering; artificial intelligence; knowledge acquisition; knowledge engineering; machine learning; multiple-choice format; reverse multiple-choice based clustering; reverse multiple-choice method; Databases; Expert systems; Knowledge acquisition; Semantics; Testing; Training; expert system; knowledge acquisition; machine learning; multiple-choice;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/CSCI.2014.77
Filename
6822147
Link To Document