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JCNS
2002
101views more  JCNS 2002»
13 years 9 months ago
Redundancy and Synergy Arising from Pairwise Correlations in Neuronal Ensembles
Multielectrode arrays allow recording of the activity of many single neurons, from which correlations can be calculated. The functional roles of correlations can be revealed by mea...
Michele Bezzi, Mathew E. Diamond, Alessandro Treve...
MCS
2007
Springer
14 years 4 months ago
An Experimental Study on Rotation Forest Ensembles
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
Ludmila I. Kuncheva, Juan José Rodrí...
PAMI
2007
166views more  PAMI 2007»
13 years 9 months ago
A Comparison of Decision Tree Ensemble Creation Techniques
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
MA
2010
Springer
140views Communications» more  MA 2010»
13 years 8 months ago
The Dirichlet Markov Ensemble
We equip the polytope of n × n Markov matrices with the normalized trace of the Lebesgue measure of Rn2 . This probability space provides random Markov matrices, with i.i.d. rows...
Djalil Chafaï
IJCSA
2008
132views more  IJCSA 2008»
13 years 9 months ago
Biomedical Named Entity Recognition Based on Classifiers Ensemble
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
Haochang Wang, Tiejun Zhao, Hongye Tan, Shu Zhang