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» Substring Selectivity Estimation
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BMCBI
2008
113views more  BMCBI 2008»
13 years 8 months ago
Investigating selection on viruses: a statistical alignment approach
Background: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading fra...
Saskia de Groot, Thomas Mailund, Gerton Lunter, Jo...
ESANN
2008
13 years 10 months ago
A multiple testing procedure for input variable selection in neural networks
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
Michele La Rocca, Cira Perna
ICC
2009
IEEE
124views Communications» more  ICC 2009»
13 years 6 months ago
Optimal Weighted Antenna Selection for Imperfect Channel Knowledge from Training
Receive antenna selection (AS) reduces the hardware complexity of multi-antenna receivers by dynamically connecting an instantaneously best antenna element to the available radio ...
Vinod Kristem, Neelesh B. Mehta, Andreas F. Molisc...
BMCBI
2008
139views more  BMCBI 2008»
13 years 8 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg
CVPR
2004
IEEE
14 years 10 months ago
Joint Feature-Basis Subset Selection
We treat feature selection and basis selection in a unified framework by introducing the masking matrix. If one considers feature selection as finding a binary mask vector that de...
Shai Avidan