Search alternatives:
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
basic process » based process (Expand Search), basic protein (Expand Search)
binary basic » binary mask (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
lens » less (Expand Search)
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
basic process » based process (Expand Search), basic protein (Expand Search)
binary basic » binary mask (Expand Search)
based based » based case (Expand Search), based basis (Expand Search), ranked based (Expand Search)
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Probability density of each bin of accuracy.
Published 2024“…The parameters for each operation such as the kernel size, sigma and footprint size were optimized. We then validated the utility of the algorithm with simulated data and freely moving nociception experiments using the lensless devices. …”
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adjoint-elastic-registration.zip from Organ registration from partial surface data in augmented surgery from an optimal control perspective
Published 2023“…After a discussion about the existence of solutions, we analyse the necessary optimality conditions and use them to derive a suitable optimization algorithm. …”
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29
Parameter settings.
Published 2025“…The study proposes a movie recommendation algorithm framework that integrates Knowledge Graph Embedding via Dynamic Mapping Matrix (TransD) and Artificial Intelligence Generated Content (AIGC)-based generative semantic modeling. …”
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Fusion framework.
Published 2025“…The study proposes a movie recommendation algorithm framework that integrates Knowledge Graph Embedding via Dynamic Mapping Matrix (TransD) and Artificial Intelligence Generated Content (AIGC)-based generative semantic modeling. …”
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Generation steps of user profiles.
Published 2025“…The study proposes a movie recommendation algorithm framework that integrates Knowledge Graph Embedding via Dynamic Mapping Matrix (TransD) and Artificial Intelligence Generated Content (AIGC)-based generative semantic modeling. …”
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Minisymposterium: Muq-Hippylib: A Bayesian Inference Software Framework Integrating Data with Complex Predictive Models under Uncertainty
Published 2021“…The central questions are: How do we optimally learn from data through the lens of models? …”
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SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
Published 2020“…The central questions are: How do we optimally learn from data through the lens of models? …”
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SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion
Published 2020“…The central questions are: How do we optimally learn from data through the lens of models? …”
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Massive Mixed Models in Julia
Published 2025“…Keeping everything in one language makes it much easier for experimentation of potential computational enhancements, such as optimizing the storage of various matrices and intermediate quantities. …”
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<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
Published 2025“…Machine learning regression algorithms were trained to predict betalain accumulation from digital images, outperforming classic spectroradiometer measurements. …”