94 search results - page 1 / 19 » The Random Subspace Method for Constructing Decision Forests |
PAMI
1998
13 years 4 months ago
1998
—Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...
IDA
2007
Springer
13 years 10 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...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
FGR
2004
IEEE
13 years 8 months ago
2004
IEEE
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
Grafted trees are trees that are constructed using two methods. The first method creates an initial tree, while the second method is used to complete the tree. In this work, the fi...