13 search results - page 1 / 3 » Multi-Interval Discretization of Continuous-Valued Attribute... |
IJCAI
1993
13 years 6 months ago
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
PKDD
1999
Springer
13 years 9 months ago
1999
Springer
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
KBS
2007
13 years 4 months ago
2007
