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CSDA
2006
155views more  CSDA 2006»
15 years 6 months ago
Modelling the mean of a doubly stochastic Poisson process by functional data analysis
A new procedure for estimating the mean process of a doubly stochastic Poisson process is introduced. The proposed estimation is based on monotone piecewise cubic interpolation of...
P. R. Bouzas, Mariano J. Valderrama, Ana M. Aguile...
IJCNN
2006
IEEE
16 years 26 days ago
TempUnit: A bio-inspired neural network model for signal processing
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
Olivier F. Manette, Marc A. Maier
CSMR
2005
IEEE
16 years 14 days ago
A Process Model and Typology for Software Product Updaters
Product software is constantly evolving through extensions, maintenance, changing requirements, changes in configuration settings, and changing licensing information. Managing ev...
Slinger Jansen, Gerco Ballintijn, Sjaak Brinkkempe...
ECML
2006
Springer
15 years 10 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
EOR
2006
178views more  EOR 2006»
15 years 6 months ago
A fuzzy optimization model for QFD planning process using analytic network approach
In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize custom...
Cengiz Kahraman, Tijen Ertay, Gülçin B...