45 search results - page 3 / 9 » Decision Trees Using the Minimum Entropy-of-Error Principle |
AI
1998
Springer
13 years 7 months ago
1998
Springer
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
ISM
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper discusses the use of a combination of support vector machine and decision tree learning for recognizing four emotions in speech, which are Neutral, Angry, Lombard, and ...
FLAIRS
2004
13 years 8 months ago
2004
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...
STOC
1992
ACM
13 years 11 months ago
1992
ACM
Abstract. We describe two methods for estimating the size and depth of decision trees where a linear test is performed at each node. Both methods are applied to the question of dec...