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ESANN
2006
15 years 1 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
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 ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
JMLR
2010
107views more  JMLR 2010»
14 years 6 months ago
Error-Correcting Ouput Codes Library
In this paper, we present an open source Error-Correcting Output Codes (ECOC) library. The ECOC framework is a powerful tool to deal with multi-class categorization problems. This...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICSE
2005
IEEE-ACM
15 years 12 months ago
Static analysis tools as early indicators of pre-release defect density
During software development it is helpful to obtain early estimates of the defect density of software components. Such estimates identify fault-prone areas of code requiring furth...
Nachiappan Nagappan, Thomas Ball
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 6 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
NIPS
2007
15 years 1 months ago
Learning with Tree-Averaged Densities and Distributions
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
Sergey Kirshner