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In the following section, we propose a new method for SZF covariance optimization that addresses both of these issues.
In this section we propose a new method for selecting the most significant genes.
In the next section, we propose a new method of finding the Hamming distance score that is much more computationally efficient than those in [ 4] and [ 5].
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In this section, we propose a new iteration method with splitting self-adaptive step size for solving the MSSFP.
In the next section, we propose a new indirect self-tuning method (STM) which is following such an approach.
In this section we propose a new, general criterion for Bayesian OED.
In this section, we first discuss the limitation of the traditional LBP-based operators, and then we propose a new method called CCP to improve LBP/LTP features.
We proposed a new method for Nocardia extraction (NECLC).
In this section, we propose a few information visualization methods.
In Section 2, we propose a new feature extraction method based on the subspace method, MDL-based subspace selection, and ICA.
In Section 3, we propose a new three-level implicit method based on spline in compression approximation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com