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This paper proposes an efficient algorithm for model transformation.
This paper presents an algorithm for Model Predictive Control of SISO systems.
In [28], authors defined the framework for automated model selection and described a simple algorithm for model selection.
The performances of the proposed ENS algorithm for model updating and model selection are examined through two numerical examples.
In this work, a scalable algorithm for model calibration in nuclear engineering applications is presented and tested.
Using the novel PDF approximations in the ML estimator, an algorithm for model parameters estimation of the noise is initially developed.
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We have proposed an iterative algorithm for model-based cochannel speech separation.
This paper proposes a performance testing framework, integrated with a random model generation algorithm, for model-related operations.
The integration of global sensivity analysis with confidence interval boostrapping in the design of a convergent algorithm for model-based policy iteration is proposed.
We propose a novel algorithm for modeling interface motions.
An algorithm for modeling a set of unordered two-dimensional points by line segments is presented.
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