96 search results - page 15 / 20 » An Evolutionary Algorithm for Oblique Decision Tree Inductio... |
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
WFLP
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
ECML
2001
Springer
14 years 3 hour ago
2001
Springer
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
AIME
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...