188 search results - page 1 / 38 » Random Forests and Kernel Methods |
ICISP
2010
Springer
13 years 9 months ago
2010
Springer
High-resolution nuclear magnetic resonance (NMR) spectra contain important biomarkers that have potentials for early diagnosis of disease and subsequent monitoring of its progressi...
ESANN
2006
13 years 6 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
SIGKDD
2000
13 years 4 months ago
2000
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
ICDAR
2007
IEEE
13 years 11 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...