143 search results - page 12 / 29 » Rough Set Model Selection for Practical Decision Making |
JMLR
2002
13 years 7 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
WSC
1996
13 years 9 months ago
1996
The area of integrating simulation and optimization has recently undergone remarkable changes. New advances are making available applications of simulation that previously had bee...
ESANN
2006
13 years 9 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
KDD
1998
ACM
13 years 12 months ago
1998
ACM
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
JCIT
2010
13 years 2 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...