86 search results - page 2 / 18 » Visualizing Bagged Decision Trees |
JMLR
2002
13 years 4 months ago
2002
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
IDA
2007
Springer
13 years 11 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
ECAI
2008
Springer
13 years 7 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
PR
2010
13 years 3 months ago
2010
The performance of m-out-of-n bagging with and without replacement in terms of the sampling ratio (m/n) is analyzed. Standard bagging uses resampling with replacement to generate ...
KDD
1999
ACM
13 years 9 months ago
1999
ACM
Satisfying the basic requirements of accuracy and understandability of a classifier, decision tree classifiers have become very popular. Instead of constructing the decision tree ...