214 search results - page 6 / 43 » Semi-Supervised Random Forests |
110
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NDT
2010
14 years 8 months ago
2010
Web directory hierarchy is critical to serve user’s search request. Creating and maintaining such directories without human experts involvement requires good classification of we...
150
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SADM
2011
14 years 4 months ago
2011
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
108
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ICMLA
2008
14 years 11 months ago
2008
When using the output of classifiers to calculate the expected utility of different alternatives in decision situations, the correctness of predicted class probabilities may be of...
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...
IBPRIA
2007
Springer
15 years 1 months ago
2007
Springer
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...