989 search results - page 37 / 198 » Classification and regression trees |
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
102
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
CEC
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
101
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CORR
2010
Springer
14 years 10 months ago
2010
Springer
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
KBS
2002
14 years 9 months ago
2002
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...