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» Input Modeling Using Quantile Statistical Methods
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ALGORITHMICA
2007
70views more  ALGORITHMICA 2007»
15 years 1 months ago
Sampling Conformation Space to Model Equilibrium Fluctuations in Proteins
This paper proposes the Protein Ensemble Method (PEM) to model equilibrium fluctuations in proteins where fragments of the protein polypeptide chain can move independently of one ...
Amarda Shehu, Cecilia Clementi, Lydia E. Kavraki
105
Voted
WIOPT
2005
IEEE
15 years 6 months ago
Interference Power Sum with Log-Normal Components in Ad-Hoc and Sensor Networks
The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power ...
Ramin Hekmat, Piet Van Mieghem
119
Voted
IJON
2006
146views more  IJON 2006»
15 years 1 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
94
Voted
ICPR
2010
IEEE
15 years 4 days ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
104
Voted
BMCBI
2006
91views more  BMCBI 2006»
15 years 1 months ago
Empirical study of supervised gene screening
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
Shuangge Ma