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Modeling learning effects via successive linear programming

โœ Scribed by Terry P. Harrison; J. Edward Ketz

Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
358 KB
Volume
40
Category
Article
ISSN
0377-2217

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This paper is concerned with transductive learning. We study a recent transductive learning approach based on clustering. In this approach one constructs a diversity of unsupervised models of the unlabeled data using clustering algorithms. These models are then exploited to construct a number of hyp