بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithms less » algorithms across (توسيع البحث), algorithms based (توسيع البحث)
less function » loss function (توسيع البحث), loss functions (توسيع البحث), bessel function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithms less » algorithms across (توسيع البحث), algorithms based (توسيع البحث)
less function » loss function (توسيع البحث), loss functions (توسيع البحث), bessel function (توسيع البحث)
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Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
منشور في 2019"…<div><p>Algorithmic differentiation (AD) is an alternative to finite differences (FD) for evaluating function derivatives. …"
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Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling
منشور في 2019"…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …"
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PATH has state-of-the-art performance versus previous binding affinity prediction algorithms.
منشور في 2025"…<p><sup><b>a</b></sup>PATH<sup>+</sup> shows comparable or better performance with less overfitting, as evidenced by a smaller slope, with much less increase in RMSEs beyond the training dataset, compared to established binding affinity prediction algorithms spanning a variety of methods. …"
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Genetic algorithm meta-parameters.
منشور في 2024"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"
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The entity relationship of DDPG algorithm.
منشور في 2024"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"
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Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?
منشور في 2020"…Model scoring functions were derived with these machine-learning algorithms on various training sets selected from over 3700 protein–ligand complexes in the PDBbind refined set (version 2016). …"
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