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» Kolmogorov Complexity and Model Selection
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JMLR
2006
85views more  JMLR 2006»
13 years 11 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
BMCBI
2006
85views more  BMCBI 2006»
13 years 11 months ago
Identification of physicochemical selective pressure on protein encoding nucleotide sequences
Background: Statistical methods for identifying positively selected sites in protein coding regions are one of the most commonly used tools in evolutionary bioinformatics. However...
Wendy S. W. Wong, Raazesh Sainudiin, Rasmus Nielse...
FSS
2002
84views more  FSS 2002»
13 years 11 months ago
A possibilistic approach to selecting portfolios with highest utility score
The mean-variance methodology for the portfolio selection problem, originally proposed by Markowitz, has been one of the most important research fields in modern finance. In this ...
Christer Carlsson, Robert Fullér, Pé...
BMCBI
2010
159views more  BMCBI 2010»
13 years 11 months ago
Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
Alvaro J. González, Li Liao
CVPR
2012
IEEE
12 years 1 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...