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» Cosparse analysis modeling - uniqueness and algorithms
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130
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AUTOMATICA
2005
103views more  AUTOMATICA 2005»
15 years 3 months ago
Periodic signal analysis by maximum likelihood modeling of orbits of nonlinear ODEs
This paper treats a new approach to the problem of periodic signal estimation. The idea is to model the periodic signal as a function of the state of a second-order nonlinear ordi...
Torsten Söderström, Torbjörn Wigren...
147
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CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 3 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
130
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INFORMATICALT
1998
91views more  INFORMATICALT 1998»
15 years 3 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko
98
Voted
SIGPRO
2002
58views more  SIGPRO 2002»
15 years 3 months ago
A HMM approach to the estimation of random trajectories on manifolds
Dynamic image analysis requires the estimation of time-varying model parameters (e.g., shape coe cients). This can be11 seen as states of a dynamic model which are restricted to a...
Jorge S. Marques, João Miranda Lemos, Arnal...
138
Voted
ECAI
2008
Springer
15 years 5 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan