30 search results - page 1 / 6 » Adjusting for Multiple Comparisons in Decision Tree Pruning |
KDD
1997
ACM
13 years 11 months ago
1997
ACM
KDD
1995
ACM
13 years 11 months ago
1995
ACM
This paper explores the application of the Minimum Description Length principle for pruning decision trees. We present a new algorithm that intuitively captures the primary goal o...
FLAIRS
2008
13 years 9 months ago
2008
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
IJCAI
1989
13 years 8 months ago
1989
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...