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algorithm steps » algorithm shows (Expand Search), algorithm models (Expand Search)
steps function » step function (Expand Search), its function (Expand Search), cep function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm co (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
etc function » fc function (Expand Search), spc function (Expand Search), npc function (Expand Search)
algorithm steps » algorithm shows (Expand Search), algorithm models (Expand Search)
steps function » step function (Expand Search), its function (Expand Search), cep function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm co (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
etc function » fc function (Expand Search), spc function (Expand Search), npc function (Expand Search)
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Algorithm of the brightness scale calibration experiment.
Published 2024“…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …”
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Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems)
Published 2021Subjects: -
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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions.
Published 2024“…Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …”
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Procedure of the DCT-based EIT algorithm.
Published 2023“…With these two structural priors, the reconstructions from the DCT-based approach were compared with the reconstructions from both the one-step Gauss-Newton solver and the GREIT. …”
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