225 search results - page 3 / 45 » On Learning Decision Trees with Large Output Domains |
ISSRE
2007
IEEE
13 years 9 months ago
2007
IEEE
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
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...
ROBOCUP
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, m...
IJCAI
1993
13 years 9 months ago
1993
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
AIPS
2008
13 years 10 months ago
2008
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...