495 search results - page 6 / 99 » Transfer Learning in Decision Trees |
ECML
2007
Springer
14 years 1 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...
IJCAI
1993
13 years 9 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...
DAWAK
2006
Springer
13 years 11 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 ...
ICML
2004
IEEE
14 years 8 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, ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
