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    JUCS
    2007
    92views more  JUCS 2007»
    Parameter Estimation of Systems Described by the Relation with Noisy Observations
    14 years 2 months ago
    Parameter Estimation of Systems Described by the Relation with Noisy Observations
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    : In this paper the problem of parameter estimation of an input – output system is discussed. It is assumed that the system is described by the relation known with accuracy to so...
    Jerzy Swiatek
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    TSP
    2008
    106views more  TSP 2008»
    An EM Algorithm for Ion-Channel Current Estimation
    14 years 2 months ago
    An EM Algorithm for Ion-Channel Current Estimation
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    Parameter estimation of a continuous-time Markov chain observed through a discrete-time memoryless channel is studied. An expectation-maximization (EM) algorithm for maximum likeli...
    William J. J. Roberts, Yariv Ephraim
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    INFORMATICALT
    2006
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    Iterative Estimation Algorithm of Autoregressive Parameters
    14 years 2 months ago
    Iterative Estimation Algorithm of Autoregressive Parameters
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    This paper presents an iterative autoregressive system parameter estimation algorithm in the presence of white observation noise. The algorithm is based on the parameter estimation...
    Kazys Kazlauskas, Jaunius Kazlauskas
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    CCE
    2006
    116views Software Engineering» more  CCE 2006»
    Sensitivity analysis of differential-algebraic equations and partial differential equations
    14 years 2 months ago
    Sensitivity analysis of differential-algebraic equations and partial differential equations
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    Sensitivity analysis generates essential information for model development, design optimization, parameter estimation, optimal control, model reduction and experimental design. In...
    Linda R. Petzold, Shengtai Li, Yang Cao, Radu Serb...
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    CCE
    2006
    74views Software Engineering» more  CCE 2006»
    Frequency-domain parameter estimation of general multi-rate systems
    14 years 2 months ago
    Frequency-domain parameter estimation of general multi-rate systems
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    This paper studies the parameter estimation of a general multi-input, multi-output multi-rate system in the frequency-domain. Two methods, named dividing to subsystems and input e...
    M. Sahebsara, T. Chen, S. L. Shah
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    BMCBI
    2006
    194views more  BMCBI 2006»
    Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
    14 years 2 months ago
    Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
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    Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
    Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
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    BMCBI
    2008
    114views more  BMCBI 2008»
    Partial mixture model for tight clustering of gene expression time-course
    14 years 2 months ago
    Partial mixture model for tight clustering of gene expression time-course
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    Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
    Yinyin Yuan, Chang-Tsun Li, Roland Wilson
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    BMCBI
    2010
    175views more  BMCBI 2010»
    Global parameter estimation methods for stochastic biochemical systems
    14 years 2 months ago
    Global parameter estimation methods for stochastic biochemical systems
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    Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
    Suresh Kumar Poovathingal, Rudiyanto Gunawan
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    AUTOMATICA
    2008
    98views more  AUTOMATICA 2008»
    An algorithm for bounded-error identification of nonlinear systems based on DC functions
    14 years 2 months ago
    An algorithm for bounded-error identification of nonlinear systems based on DC functions
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    This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
    J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
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    AMC
    2008
    82views more  AMC 2008»
    Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models
    14 years 2 months ago
    Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models
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    This paper presents a parameter estimation algorithm for a class of Hammerstein nonlinear systems
    Li Yu, Jiabo Zhang, Yuwu Liao, Jie Ding
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