11 search results - page 2 / 3 » Induction of decision trees in numeric domains using set-val... |
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
ECML
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
KDD
2000
ACM
13 years 9 months ago
2000
ACM
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
AIIA
2003
Springer
13 years 9 months ago
2003
Springer
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
COR
2006
13 years 5 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...