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» An e-Process Selection Model
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JMLR
2010
151views more  JMLR 2010»
14 years 8 months ago
The Feature Selection Path in Kernel Methods
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
Fuxin Li, Cristian Sminchisescu
SP
2002
IEEE
128views Security Privacy» more  SP 2002»
15 years 1 months ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...
PRL
1998
132views more  PRL 1998»
15 years 1 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
ISCI
2010
118views more  ISCI 2010»
15 years 11 days ago
Approximations of upper and lower probabilities by measurable selections
A random set can be regarded as the result of the imprecise observation of a random variable. Following this interpretation, we study to which extent the upper and lower probabili...
Enrique Miranda, Inés Couso, Pedro Gil
ISAMI
2010
14 years 11 months ago
GRASP for Instance Selection in Medical Data Sets
Abstract Medical data sets consist of a huge amount of data organized in instances, where each one contains several attributes. The quality of the models obtained from a database s...
Alfonso Fernández, Abraham Duarte, Rosa Her...