Showing 1 - 20 results of 6,570 for search '(( element each algorithm ) OR ((( predicted using algorithm ) OR ( neural coding algorithm ))))', query time: 0.48s Refine Results
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    The run time for each algorithm in seconds. by Edward Antonian (21453161)

    Published 2025
    “…In particular, we examine Autoregressive AR(1) vector autoregressive processes, which are commonly found in time-series applications. Finally, we use the Laplace approximation to determine a lower bound for the out-of-sample prediction error and derive a scalable expression for the marginal variance of each prediction. …”
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    Performance of algorithms outside the training species. by Sven B. Gould (12237287)

    Published 2024
    “…Each Venn diagram of the top panel shows an overlap between predicted (left circles, colour-coded based on the algorithms used) and experimentally verified organelle proteomes (right circles, grey). …”
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    (a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm. by Dandan Wang (286632)

    Published 2025
    “…<p>(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm.…”
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    Pseudo code. by Xuwei Liu (6034592)

    Published 2025
    “…The experiment was validated using project datasets covering different regions, scales, and types of prefabricated components. …”
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    Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model. by M. Isabel Ramos (20565201)

    Published 2025
    “…<p>Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model.…”
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    Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

    Published 2025
    “…<p>Prediction percentage distribution using different algorithms applied in our research.…”
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    Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

    Published 2025
    “…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…”
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