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NN
2000
Springer
150views Neural Networks» more  NN 2000»
15 years 4 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
MOC
2002
98views more  MOC 2002»
15 years 4 months ago
Bounds for the smallest norm in an ideal class
We develop a method for obtaining upper bounds for the smallest norm among all norms of integral ideals in an ideal class. Applying this to number fields of small degree, we are ab...
Ana-Cecilia de la Maza
PR
2002
270views more  PR 2002»
15 years 4 months ago
Feature selection toolbox
A software package developed for the purpose of feature selection in statistical pattern recognition is presented. The software tool includes both several classical and new method...
Petr Somol, Pavel Pudil
ORL
2007
102views more  ORL 2007»
15 years 4 months ago
Using critical sets to solve the maximum independent set problem
A method that utilizes the polynomially solvable critical independent set problem for solving the maximum independent set problem on graphs with a nonempty critical independent se...
Sergiy Butenko, Svyatoslav Trukhanov
SCFBM
2008
129views more  SCFBM 2008»
15 years 4 months ago
Faunus: An object oriented framework for molecular simulation
Background: We present a C++ class library for Monte Carlo simulation of molecular systems, including proteins in solution. The design is generic and highly modular, enabling mult...
Mikael Lund, Martin Trulsson, Björn Persson