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» Computing and using residuals in time series models
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BMCBI
2010
103views more  BMCBI 2010»
13 years 7 months ago
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information
Background: Guanosine triphosphate (GTP)-binding proteins play an important role in regulation of G-protein. Thus prediction of GTP interacting residues in a protein is one of the...
Jagat S. Chauhan, Nitish K. Mishra, Gajendra P. S....
NPL
1998
175views more  NPL 1998»
13 years 7 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
ARITH
2005
IEEE
14 years 1 months ago
The Residue Logarithmic Number System: Theory and Implementation
— The Residue Logarithmic Number System (RLNS) represents real values as quantized logarithms which, in turn, are represented using the Residue Number System (RNS). Compared to t...
Mark G. Arnold
CSB
2003
IEEE
14 years 26 days ago
An Exact Algorithm For Determining Protein Backbone Structure From NH Residual Dipolar Couplings
We have developed a novel algorithm for protein backbone structure determination using global orientational restraints on internuclear bond vectors derived from residual dipolar c...
Lincong Wang, Ramgopal R. Mettu, Ryan H. Lilien, B...
ESANN
2006
13 years 9 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...