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» A fuzzy random forest
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ICMLA
2008
14 years 9 days ago
Calibrating Random Forests
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...
Henrik Boström
EUSFLAT
2007
186views Fuzzy Logic» more  EUSFLAT 2007»
14 years 9 days ago
Forest of Fuzzy Decision Trees and Their Application in Video Mining
One of the great challenges today is to index videos with high-level semantic concepts or features. The basis of our approach is to use a fuzzy decision trees (FDT) to construct t...
Marcin Detyniecki, Christophe Marsala
EUSFLAT
2009
110views Fuzzy Logic» more  EUSFLAT 2009»
13 years 8 months ago
Discriminant Analysis for Fuzzy Random Variables Based on Nonparametric Regression
Ana Colubi, María Angeles Gil, Gil Gonz&aac...
IDA
2007
Springer
14 years 5 months ago
Combining Bagging and Random Subspaces to Create Better Ensembles
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...
Pance Panov, Saso Dzeroski
IBPRIA
2007
Springer
14 years 2 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
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...
Oleg Okun, Helen Priisalu