Search alternatives:
modeling algorithm » mining algorithm (Expand Search), boosting algorithm (Expand Search), processing algorithm (Expand Search)
sampling algorithm » mining algorithm (Expand Search)
matching algorithm » mining algorithm (Expand Search), tracking algorithm (Expand Search)
modeling algorithm » mining algorithm (Expand Search), boosting algorithm (Expand Search), processing algorithm (Expand Search)
sampling algorithm » mining algorithm (Expand Search)
matching algorithm » mining algorithm (Expand Search), tracking algorithm (Expand Search)
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Algorithms used in this study.
Published 2024“…This allowed us to develop a machine learning-based framework for the prediction of bead-forming minerals by training and benchmarking 13 of the most widely used supervised algorithms. As a proof of concept, we developed a multiclass model and evaluated its performance on two assemblages from different Portuguese sites with current mineralogical characterisation: Cova das Lapas (<i>n</i> = 15 samples) and Gruta da Marmota (<i>n</i> = 10 samples). …”
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Algorithmic complexity.
Published 2022“…<p>Algorithmic complexity [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010323#pcbi.1010323.ref009" target="_blank">9</a>] for each model was computed based on the number of operations performed on a trial, broken into: arithmetic, writing to memory, reading from memory, and storage operations. …”
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Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification
Published 2023Subjects: -
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