1839 search results - page 36 / 368 » Feature Selection in Clustering Problems |
ICTAI
2008
IEEE
14 years 3 months ago
2008
IEEE
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
UAI
2004
13 years 10 months ago
2004
Suppose that the only available information in a multi-class problem are expert estimates of the conditional probabilities of occurrence for a set of binary features. The aim is t...
JMLR
2010
13 years 3 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
FUZZIEEE
2007
IEEE
14 years 3 months ago
2007
IEEE
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...