134 search results - page 11 / 27 » Ensembles of Grafted Trees |
IDA
2007
Springer
14 years 1 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...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
IEEEIAS
2008
IEEE
14 years 2 months ago
2008
IEEE
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
JAIR
2008
13 years 7 months ago
2008
In this paper, we show that a continuous spectrum of randomisation exists, in which most existing tree randomisations are only operating around the two ends of the spectrum. That ...
MCS
2004
Springer
14 years 29 days ago
2004
Springer
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...