DocumentCode :
3860829
Title :
Feature transformation by function decomposition
Author :
B. Zupan;M. Bohanec;J. Demsar;I. Bratko
Author_Institution :
Jozef Stefan Inst., Ljubljana Univ., Slovenia
Volume :
13
Issue :
2
fYear :
1998
Firstpage :
38
Lastpage :
43
Abstract :
The function decomposition described can identify subsets of existing features and discover nongiven functions that map these subsets to a new feature, also, it can organize the existing and new features into a hierarchy. The authors demonstrate their Hierarchy Induction Tool (HINT) system on a housing loan-allocation application. Methods for switching circuit design often implicitly deal with feature transformation. Such methods construct a circuit to implement a given or partially given tabulated Boolean function. The authors´ function-decomposition method can discover and construct a hierarchy of new features that one can add to the original dataset or transform into a hierarchy of less complex datasets. The method allows the decomposition to deal with nominal-feature (that is, not necessarily binary) functions.
Keywords :
"Matrix decomposition","Intelligent systems"
Journal_Title :
IEEE Intelligent Systems and their Applications
Publisher :
ieee
ISSN :
1094-7167
Type :
jour
DOI :
10.1109/5254.671090
Filename :
671090
Link To Document :
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