254 search results - page 3 / 51 » Multi-interval Discretization Methods for Decision Tree Lear... |
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...
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...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...