971 search results - page 13 / 195 » Mining Several Data Bases with an Ensemble of Classifiers |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
The problem of identifying mislabeled training examples has been examined in several studies, with a variety of approaches developed for editing the training data to obtain better...
IJCAI
2003
13 years 9 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...
CASCON
2004
13 years 9 months ago
2004
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...