313 search results - page 3 / 63 » Breeding Decision Trees Using Evolutionary Techniques |
HIS
2008
13 years 8 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
STACS
1999
Springer
13 years 11 months ago
1999
Springer
We present a new technique called balanced randomized tree splitting. It is useful in constructing unknown trees recursively. By applying it we obtain two new results on efficient ...
PAMI
2007
13 years 6 months ago
2007
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...
ICML
1999
IEEE
14 years 7 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
AIMSA
2000
Springer
13 years 10 months ago
2000
Springer
Abstract. Decision trees are considered as an efficient technique to express classification knowledge and to use it. However, their most standard algorithms do not deal with uncert...