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    BMCBI
    2006
    175views more  BMCBI 2006»
    Parameter estimation for stiff equations of biosystems using radial basis function networks
    13 years 9 months ago
    Parameter estimation for stiff equations of biosystems using radial basis function networks
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    Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
    Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
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    CSDA
    2006
    191views more  CSDA 2006»
    Forecasting daily time series using periodic unobserved components time series models
    13 years 9 months ago
    Forecasting daily time series using periodic unobserved components time series models
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    We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
    Siem Jan Koopman, Marius Ooms
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    PRL
    2008
    198views more  PRL 2008»
    Pose estimation and tracking using multivariate regression
    13 years 9 months ago
    Pose estimation and tracking using multivariate regression
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    This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
    Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
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    SIAMSC
    2008
    131views more  SIAMSC 2008»
    Gramian-Based Model Reduction for Data-Sparse Systems
    13 years 9 months ago
    Gramian-Based Model Reduction for Data-Sparse Systems
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    Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
    Ulrike Baur, Peter Benner
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    BMCBI
    2005
    112views more  BMCBI 2005»
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
    13 years 9 months ago
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
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    Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
    Rainer Breitling, Patrick Armengaud, Anna Amtmann
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