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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Granular Computing, 2005 IEEE International Conference on
         
        
            Print_ISBN : 
0-7803-9017-2
         
        
        
            DOI : 
10.1109/GRC.2005.1547384