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» Branching on Attribute Values in Decision Tree Generation
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IIS
2001
13 years 9 months ago
The Development of the AQ20 Learning System and Initial Experiments
: Research on a new system implementing the AQ learning methodology, called AQ20, is briefly described, and illustrated by initial results from an experimental version. Like its pr...
Guido Cervone, Liviu Panait, Ryszard S. Michalski
CP
2008
Springer
13 years 10 months ago
Cost-Based Domain Filtering for Stochastic Constraint Programming
Abstract. Cost-based filtering is a novel approach that combines techniques from Operations Research and Constraint Programming to filter from decision variable domains values that...
Roberto Rossi, Armagan Tarim, Brahim Hnich, Steven...
IJCAI
1997
13 years 9 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
CEC
2010
IEEE
13 years 9 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne
EDBT
2008
ACM
120views Database» more  EDBT 2008»
14 years 8 months ago
Schema mapping verification: the spicy way
Schema mapping algorithms rely on value correspondences ? i.e., correspondences among semantically related attributes ? to produce complex transformations among data sources. Thes...
Angela Bonifati, Giansalvatore Mecca, Alessandro P...