Search alternatives:
algorithm sphere » algorithm where (Expand Search), algorithm pre (Expand Search), algorithm shows (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
sphere function » severe functional (Expand Search), reserve function (Expand Search)
python function » protein function (Expand Search)
algorithm loss » algorithms less (Expand Search), algorithm allows (Expand Search), algorithm shows (Expand Search)
algorithm sphere » algorithm where (Expand Search), algorithm pre (Expand Search), algorithm shows (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
sphere function » severe functional (Expand Search), reserve function (Expand Search)
python function » protein function (Expand Search)
algorithm loss » algorithms less (Expand Search), algorithm allows (Expand Search), algorithm shows (Expand Search)
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Results of searching performance of different algorithm models on the Sphere function and Griewank function.
Published 2021“…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…”
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Search Algorithms and Loss Functions for Bayesian Clustering
Published 2022“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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Loss function values of target detection algorithms during training.
Published 2024“…<p>Loss function values of target detection algorithms during training.…”
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Analogues on the Sphere of the Affine-Equivariant Spatial Median
Published 2020“…<p><b>Robust estimation of location for data on the unit sphere</b><math><mrow><mrow><mi>S</mi></mrow><mrow><mi>p</mi><mo>−</mo><mn>1</mn></mrow></mrow></math><b>is an important problem in directional statistics even though the influence functions of the sample mean direction and other location estimators are bounded. …”
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Comparison of the curves of the DCIOU loss function and the CIOU loss function.
Published 2025Subjects: -
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”
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