246 search results - page 1 / 50 » Calibrating Random Forests |
ICMLA
2008
13 years 5 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...
JMLR
2006
13 years 4 months ago
2006
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
IDEAS
2007
IEEE
13 years 10 months ago
2007
IEEE
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
ICDAR
2007
IEEE
13 years 10 months ago
2007
IEEE
In the Pattern Recognition field, growing interest has been shown in recent years for Multiple Classifier Systems and particularly for Bagging, Boosting and Random Subspaces. Th...