Title
Bipolar version space learning
Abstract
Bipolarity appears in information processing when positive and negative sides of what is specified are clearly distinct, but not complementary from each other. This distinction, which can be made in different representation settings, has been recently emphasized in the framework of possibility theory, where what is given as being guaranteed possible, can be a strict subset of what is considered as being not impossible. This leads to an original revision mechanism when new information is received, which turns to be at work in the version space view of learning. This enables us to stress the bipolar nature of the version space approach and to propose an extension of it with layered sets of examples and counterexamples. © 2008 Wiley Periodicals, Inc.
Year
DOI
Venue
2008
10.1002/int.v23:10
Int. J. Intell. Syst.
Field
DocType
Volume
Information processing,Possibility theory,Artificial intelligence,Counterexample,Mathematics,Version space
Journal
23
Issue
ISSN
Citations 
10
0884-8173
7
PageRank 
References 
Authors
0.54
5
2
Name
Order
Citations
PageRank
Henri Prade1105491445.02
Mathieu Serrurier226726.94