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» Variable selection using neural-network models
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BMCBI
2007
158views more  BMCBI 2007»
14 years 9 months ago
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...
86
Voted
WSC
2008
15 years 12 hour ago
Enhancing simulation as improvement and decision support system tool
Lecturing a Discrete Event Simulation course implies some challenges for the instructors. These challenges implies taking decisions from the design of the course to the selection ...
Heriberto Garcia, Eduardo Garcia
85
Voted
NAACL
2010
14 years 7 months ago
Probabilistic Frame-Semantic Parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction problem and describes an implemented parser that transforms an English sentence into a f...
Dipanjan Das, Nathan Schneider, Desai Chen, Noah A...
PR
2010
184views more  PR 2010»
14 years 8 months ago
Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images
The total variation-based image denoising model has been generalized and extended in numerous ways, improving its performance in different contexts. We propose a new penalty func...
Aditya Chopra, Heng Lian
85
Voted
ICASSP
2010
IEEE
14 years 7 months ago
A transient analysis for the convex combination of two adaptive filters with transfer of coefficients
This paper proposes an improved model for the transient of convex combinations of adaptive filters. A previous model, based on a firstorder Taylor series approximation of the nonl...
Magno T. M. Silva, Vitor H. Nascimento, Jeró...