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JMLR
2010
140views more  JMLR 2010»
15 years 1 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
JMLR
2010
125views more  JMLR 2010»
15 years 1 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
JMLR
2010
110views more  JMLR 2010»
15 years 1 months ago
Attribute Selection Based on FRiS-Compactness
Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
Nikolay G. Zagoruiko, Irina V. Borisova, Vladimir ...
TMI
2010
206views more  TMI 2010»
15 years 1 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...
ICASSP
2011
IEEE
14 years 10 months ago
Reconfigurable decoder architectures for Raptor codes
Decoder architectures for architecture-aware Raptor codes having regular message access-and-processing patterns are presented. Raptor codes are a class of concatenated codes compo...
Hady Zeineddine, Mohammad M. Mansour