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CSDA
2007
100views more  CSDA 2007»
13 years 4 months ago
Estimation in a linear multivariate measurement error model with a change point in the data
A linear multivariate measurement error model AX = B is considered. The errors in A B are row-wise finite dependent, and within each row, the errors may be correlated. Some of th...
Alexander Kukush, Ivan Markovsky, Sabine Van Huffe...
TNN
2010
148views Management» more  TNN 2010»
12 years 11 months ago
A fast algorithm for robust mixtures in the presence of measurement errors
Abstract--In experimental and observational sciences, detecting atypical, peculiar data from large sets of measurements has the potential of highlighting candidates of interesting ...
Jianyong Sun, Ata Kabán
BMCBI
2008
86views more  BMCBI 2008»
13 years 4 months ago
Piecewise multivariate modelling of sequential metabolic profiling data
Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...
Mattias Rantalainen, Olivier Cloarec, Timothy M. D...
NCI
2004
141views Neural Networks» more  NCI 2004»
13 years 6 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
12 years 11 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof