IMI-BAS BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Journal ITA >
2005 >
Volume 12 Number 2 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/799

Title: DIAGaRa: An Incremental Algorithm for Inferring Implicative Rules from Examples
Authors: Naidenova, Xenia
Keywords: Incremental and Non-incremental Learning
Learning from Examples
Machine Learning
Common Sense Reasoning
Inductive Inference
Good Diagnostic Test
Lattice Theory
Issue Date: 2005
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: An approach is proposed for inferring implicative logical rules from examples. The concept of a good diagnostic test for a given set of positive examples lies in the basis of this approach. The process of inferring good diagnostic tests is considered as a process of inductive common sense reasoning. The incremental approach to learning algorithms is implemented in an algorithm DIAGaRa for inferring implicative rules from examples.
URI: http://hdl.handle.net/10525/799
ISSN: 1313-0463
Appears in Collections:Volume 12 Number 2

Files in This Item:

File Description SizeFormat
ijita12-2-p10.pdf209.02 kBAdobe PDFView/Open

 



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!   Creative Commons License DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback