221 search results - page 13 / 45 » Random Convolution Ensembles |
ICIP
2000
IEEE
14 years 11 months ago
2000
IEEE
This paper presents a new non-iterative, closed-form approximation to the maximum entropy (M.E.) image restoration method. A fast frequency domain implementation of this closed fo...
ICMLA
2008
13 years 11 months ago
2008
Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
IBPRIA
2007
Springer
14 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...
AAAI
2004
13 years 11 months ago
2004
Random decision tree is an ensemble of decision trees. The feature at any node of a tree in the ensemble is chosen randomly from remaining features. A chosen discrete feature on a...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
—A new application of the NN ensemble approach is presented. It is applied to NN emulations of model physics in complex numerical climate models, and aimed at improving the accur...