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The respective algorithms are referred to as CONPLAC and CONITPLAC.
The accuracy of the individual variants and the stability of the respective algorithms are demonstrated.
A wide range of theories and their respective algorithms can be used in such predictions.
A more detailed description of the parameters and how they link to the respective algorithms is given in the appendix of [Joachims, 2002a].
The paper describes the essential differences in determining optimal gradation of hot mix asphalt (HMA) mixture used in road building at the stages of its selection, initial design and production, and presents the respective algorithms.
Models are generated by the respective algorithms, given specific parameters and data.
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Most of these algorithms have one thing in common, i.e. tuning of the respective algorithm-specific parameters.
The respective algorithm is designed to be based on the priority of each buffer and its current traffic rate.
All of the MED, MLH, and MHD classification results were evaluated in terms of overall accuracies and κ-statistics, as detailed in Section 4.4, and in terms of the largest number of spectral bands used, to determine which variant of the respective algorithm produced the best results within its category.
The time of SSC initiation, t SSC, is selected as the initiation time of each respective algorithm peak (this being the first point at which the minimum level is exceeded), and the amplitude of the SSC Delta H H)) is determined by subtracting the field strength at t SSC from the field strength at the end of the peak or period exceeding the minimum level.
As a visual guideline, only parts of those functions necessary for the fundamental frequency estimation at the respective algorithm snapshots are shown as solid lines, and those values that do not contribute to the estimation at those moments, i.e., future values and values that have already led to an estimation are shown as dotted lines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com