8 search results - page 1 / 2 » Optimal Multiple Intervals Discretization of Continuous Attr... |
KDD
1997
ACM
13 years 9 months ago
1997
ACM
ICML
1996
IEEE
14 years 5 months ago
1996
IEEE
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
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...
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...
TKDE
2008
13 years 4 months ago
2008
This paper introduces a new method for supervised discretization based on interval distances by using a novel concept of neighborhood in the target's space. The proposed metho...