495 search results - page 6 / 99 » Transfer Learning in Decision Trees |
132
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
160
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IJCAI
1993
15 years 5 months ago
1993
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
154
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DAWAK
2006
Springer
15 years 7 months ago
2006
Springer
In the paper, a new evolutionary algorithm (EA) for mixed tree learning is proposed. In non-terminal nodes of a mixed decision tree different types of tests can be placed, ranging ...
135
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
