Bipolar version space learning

Prade, H; Serrurier, M

Bipolar version space learning

Prade, H

Serrurier, M

Permalink

Publication Type:: Journal Article
Citation:: International Journal of Intelligent Systems, 2008, 23 (10), pp. 1135 - 1152
Issue Date:: 2008-10-01

Closed Access

	Filename	Description	Size
	2013007901OK.pdf	Published Version	145.69 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Prade, H https://orcid.org/0000-0003-4586-8527	en_US
dc.contributor.author	Serrurier, M	en_US
dc.date.issued	2008-10-01	en_US
dc.identifier.citation	International Journal of Intelligent Systems, 2008, 23 (10), pp. 1135 - 1152	en_US
dc.identifier.issn	0884-8173	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32523
dc.description.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.	en_US
dc.relation.ispartof	International Journal of Intelligent Systems	en_US
dc.relation.isbasedon	10.1002/int.20310	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Bipolar version space learning	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	23	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	23	en_US

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/32523