12 search results - page 1 / 3 » Generalized Entropy for Splitting on Numerical Attributes in... |
FLAIRS
2006
13 years 8 months ago
2006
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
IJCAI
1993
13 years 8 months ago
1993
This article describes a new system for induction of oblique decision trees. This system, OC1, combines deterministic hill-climbing with two forms of randomization to nd a good ob...
ICANNGA
2007
Springer
13 years 11 months ago
2007
Springer
Predictions computed by a classification tree are usually constant on axis-parallel hyperrectangles corresponding to the leaves and have strict jumps on their boundaries. The densi...
COR
2006
13 years 7 months ago
2006
Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretiz...
DATAMINE
1999
13 years 7 months ago
1999
To find the optimal branching of a nominal attribute at a node in an L-ary decision tree, one is often forced to search over all possible L-ary partitions for the one that yields t...