73 search results - page 7 / 15 » Ensembles of Multi-Objective Decision Trees |
IDA
2007
Springer
15 years 3 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...
BIBE
2005
IEEE
15 years 3 months ago
2005
IEEE
We introduce a new ensemble method based on decision tree to discover significant and diversified rules for subtype classification of childhood acute lymphoblastic leukemia, a ...
81
Voted
CIDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
CEC
2009
IEEE
15 years 22 days ago
2009
IEEE
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...