Result: Learning intersection-closed classes with signatures

Title:
Learning intersection-closed classes with signatures
Source:
Algorithmic learning theoryTheoretical computer science. 382(3):209-220
Publisher Information:
Amsterdam: Elsevier, 2007.
Publication Year:
2007
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Simon Fraser University, Burnaby, Canada
Departament de Tecnologia, Universitat Pompeu Fabra, Barcelona, Spain
ISSN:
0304-3975
Rights:
Copyright 2008 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19034086
Database:
PASCAL Archive

Further Information

Intersection-closed classes of concepts arise naturally in many contexts and have been intensively studied in computational learning theory. In this paper, we study intersection-closed classes that contain the concepts invariant under an operation satisfying a certain algebraic condition. We give a learning algorithm in the exact model with equivalence queries for such classes. This algorithm utilizes a novel encoding scheme, which we call a signature.