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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithms used » algorithm used (Expand Search), algorithms based (Expand Search), algorithms using (Expand Search)
python function » protein function (Expand Search)
based function » based functional (Expand Search), basis function (Expand Search), basis functions (Expand Search)
used function » used functions (Expand Search), used functional (Expand Search), mixed function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithms used » algorithm used (Expand Search), algorithms based (Expand Search), algorithms using (Expand Search)
python function » protein function (Expand Search)
based function » based functional (Expand Search), basis function (Expand Search), basis functions (Expand Search)
used function » used functions (Expand Search), used functional (Expand Search), mixed function (Expand Search)
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Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.
Published 2023“…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…”
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Contrast enhancement of digital images using dragonfly algorithm
Published 2024“…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”
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Multi-functional liquid crystal devices based on random binary matrix algorithm
Published 2023“…Using the new algorithm, several phase-mixing devices were fabricated, and the experiment verified the relationship of the light intensity, polarisation, phase and the algorithm. …”
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Flowchart of the specific incarnation of the BO algorithm used in the experiments.
Published 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. …”
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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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