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We describe the use of a linear implementation of signature analysis that can efficiently address a range of walking window sizes using dinucleotide signatures (DNS) and longer signatures.
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However, because the CLR transform offers a more straightforward (linear) implementation, we anticipate future mixing model applications will rely principally on this approach.
An optimal policy is derived for the control model using a linear NPI implementation cost.
This package provides a linear kernel implementation that allows the classification of multiple classes by using a One-versus-One (OvO) approach, in which all the binary classifications are fitted and the correct class is found based on a voting system.
We also provide a linear-time implementation of our algorithm.
We provide a linear-cost implementation for tracing the PAC of polygonal approximations of smooth input curves.
The complex estimator uses the efficiency of the linear and non-linear implementation methods.
A linear modelling tool, an implementation of linear regression modelling, allows analysis of several variables at the same time.
Since the implementation of a linear function, numerous refinements have been proposed.
The efficacy of this scheme is further validated via implementation on a linear variable reluctance motor (LVRM) servo system.
The theory and practical implementation of a linear (direct differential method) and a non-linear (Fourier Amplitude Sensitivity Test) technique for sensitivity analysis are presented.
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