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» Variable selection using neural-network models
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ICPR
2006
IEEE
15 years 11 months ago
Evaluation of 3D Facial Feature Selection for Individual Facial Model Identification
Face recognition using 3D information has been intensively investigated in recent years. The features selected from 3D facial surfaces are invariant to pose and lighting condition...
Lijun Yin, Yi Sun
BMCBI
2008
107views more  BMCBI 2008»
14 years 10 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
IJON
2006
146views more  IJON 2006»
14 years 9 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
JMLR
2006
103views more  JMLR 2006»
14 years 9 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
IWINAC
2007
Springer
15 years 3 months ago
Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
Michela Ponticorvo, Orazio Miglino