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» Regression with interval output values
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NA
2007
62views more  NA 2007»
13 years 7 months ago
Runge-Kutta interpolants for high precision computations
Runge-Kutta (RK) pairs furnish approximations of the solution of an initial value problem at discrete points in the interval of integration. Many techniques for enriching these met...
Ch. Tsitouras
BMCBI
2010
172views more  BMCBI 2010»
13 years 7 months ago
Inferring gene regression networks with model trees
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...
Isabel A. Nepomuceno-Chamorro, Jesús S. Agu...
ITC
2003
IEEE
162views Hardware» more  ITC 2003»
14 years 25 days ago
Concurrent Error Detection in Linear Analog Circuits Using State Estimation
We present a novel methodology for concurrent error detection in linear analog circuits. We develop a rigorous theory that yields an error detection circuit of size that is, in ge...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris
GLOBECOM
2007
IEEE
14 years 1 months ago
An Analytical Model for a Book-Ahead Bandwidth Scheduler
— Optical networks with book-ahead bandwidth schedulers are being deployed to meet the high-speed and predictable-service networking requirements of applications in the scientiï¬...
Xiangfei Zhu, Mark E. McGinley, Tao Li, Malathi Ve...
ESANN
2008
13 years 9 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén