254 search results - page 20 / 51 » Multi-interval Discretization Methods for Decision Tree Lear... |
ESWA
2006
13 years 7 months ago
2006
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
INFORMATICALT
2008
13 years 7 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
COLT
2004
Springer
13 years 11 months ago
2004
Springer
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
IJCAI
1997
13 years 9 months ago
1997
Discretization refers to splitting the range of continuous values into intervals so as to provide useful information about classes. This is usually done by minimizing a goodness m...
AIME
1997
Springer
13 years 11 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...