يعرض 61 - 80 نتائج من 16,182 نتيجة بحث عن '(((( algorithm using function ) OR ( algorithm i function ))) OR ( algorithm python function ))', وقت الاستعلام: 0.79s تنقيح النتائج
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    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

    منشور في 2020
    "…In order to establish the workability of our program package, we selectively choose six realistic molecular species, namely, NO<sub>2</sub> radical, H<sub>3</sub><sup>+</sup>, F + H<sub>2</sub>, NO<sub>3</sub> radical, C<sub>6</sub>H<sub>6</sub><sup>+</sup> radical cation, and 1,3,5-C<sub>6</sub>H<sub>3</sub>F<sub>3</sub><sup>+</sup> radical cation, where two, three, five and six electronic states exhibit profound nonadiabatic interactions and are employed to compute diabatic PESs by using <i>ab initio</i> calculated adiabatic PESs and NACTs. …"
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    Algorithm framework. حسب Zongjin Li (38031)

    منشور في 2025
    الموضوعات:
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    Efficient algorithms to discover alterations with complementary functional association in cancer حسب Rebecca Sarto Basso (6728921)

    منشور في 2019
    "…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …"
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    <i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function حسب Jicai Liu (11419050)

    منشور في 2022
    "…<p>We propose a novel partitioning clustering procedure based on the cumulative distribution function (CDF), called <i>K</i>-CDFs. For univariate data, the <i>K</i>-CDFs represent the cluster centers by empirical CDFs and assign each observation to the closest center measured by the Cram<math><mrow><mi>e</mi><mo>´</mo></mrow></math>r-von Mises distance. …"
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    Flowchart of the specific incarnation of the BO algorithm used in the experiments. حسب Lisa Laux (9367681)

    منشور في 2020
    "…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …"