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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm cost » algorithm could (Expand Search), algorithms across (Expand Search)
algorithm its » algorithm i (Expand Search), algorithm etc (Expand Search), algorithm iqa (Expand Search)
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its function » i function (Expand Search), loss function (Expand Search), _ function (Expand Search)
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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic
Published 2019“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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Comparison of cost obtained by implementation of different algorithms on the CSTHTS problem.
Published 2021Subjects: -
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Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses
Published 2022“…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”
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Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses
Published 2022“…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”
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Open Binding Pose Metadynamics: An Effective Approach for the Ranking of Protein–Ligand Binding Poses
Published 2022“…OpenBPMD is powered by the OpenMM simulation engine and uses a revised scoring function. The algorithm was validated by testing it on a wide range of targets and showing that it matches or exceeds the performance of the original BPMD. …”
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Novel Self-Adaptive Shale Gas Production Proxy Model and Its Practical Application
Published 2022“…An adaptive difference evolution algorithm (SaDE) optimized least-squares support vector machine (LSSVM) is used as an approximation function, while training is performed using a self-adaptive response surface experimental design (SaRSE). …”
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