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» On the Complexity of Approximating the VC Dimension
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TIT
1998
126views more  TIT 1998»
14 years 9 months ago
An Asymptotic Property of Model Selection Criteria
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...
Yuhong Yang, Andrew R. Barron
ISNN
2007
Springer
15 years 3 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
COLCOM
2007
IEEE
14 years 11 months ago
A random projection approach to subscription covering detection in publish/subscribe systems
Abstract—Subscription covering detection is useful to improving the performance of any publish/subscribe system. However, an exact solution to querying coverings among a large se...
Duc A. Tran, Thinh Nguyen
JMLR
2008
133views more  JMLR 2008»
14 years 9 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
15 years 10 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel