DocumentCode :
2621362
Title :
A positive extension matrix algorithmAE18 of learning from examples
Author :
Zhang, Haiyi ; Lei, Jin
Author_Institution :
Jodrey Sch. of Comput. Sci., Acadia Univ., Wolfville, NS, Canada
Volume :
2
fYear :
2005
fDate :
25-27 July 2005
Firstpage :
712
Abstract :
The key aim of inducing rules from unordered examples is the learning algorithm, so development of a high-quality learning algorithm will promote growth of machine learning. In order to optimize our positive matrix algorithm, this paper presents a new version of the positive extension matrix algorithm called AE18 and makes comparisons with our experimental results.
Keywords :
learning by example; matrix algebra; learning from example; machine learning; positive extension matrix algorithm; positive matrix algorithm; Computer science; Decision trees; Machine learning; Machine learning algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
Type :
conf
DOI :
10.1109/GRC.2005.1547384
Filename :
1547384
Link To Document :
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