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» An Experimental Study on Feature Subset Selection Methods
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BMCBI
2011
14 years 7 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
DFT
2008
IEEE
103views VLSI» more  DFT 2008»
15 years 10 months ago
Arbitrary Error Detection in Combinational Circuits by Using Partitioning
The paper presents a new technique for designing a concurrently checking combinational circuit. The technique is based on partitioning the circuit into two independent sub-circuit...
Osnat Keren, Ilya Levin, Vladimir Ostrovsky, Beni ...
IJDMB
2008
128views more  IJDMB 2008»
15 years 4 months ago
Protein homology detection with biologically inspired features and interpretable statistical models
: Computational classification of proteins using methods such as string kernels and Fisher-SVM has demonstrated great success. However, the resulting models do not offer an immedia...
Pai-Hsi Huang, Vladimir Pavlovic
IPSN
2005
Springer
15 years 9 months ago
The sensor selection problem for bounded uncertainty sensing models
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
Volkan Isler, Ruzena Bajcsy
TVCG
2010
188views more  TVCG 2010»
15 years 2 months ago
Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames
— This paper presents topology-based methods to robustly extract, analyze, and track features defined as subsets of isosurfaces. First, we demonstrate how features identified b...
Peer-Timo Bremer, Gunther H. Weber, Valerio Pascuc...