يعرض 1 - 20 نتائج من 23 نتيجة بحث عن '(( binary whole model optimization algorithm ) OR ( primary data bayesian optimization algorithm ))', وقت الاستعلام: 0.40s تنقيح النتائج
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    Models’ performance without optimization. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    <i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

    منشور في 2023
    "…The sequences can include from a single SNP-allele pair up to a maximum number of pairs defined by the user (<i>l</i><sub>max</sub>). <b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …"
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    RNN performance comparison with/out optimization. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    XNet: A Bayesian Approach to Extracted Ion Chromatogram Clustering for Precursor Mass Spectrometry Data حسب Mathew Gutierrez (5844431)

    منشور في 2019
    "…While tandem mass spectrometry remains a primary method for identification and quantification, species-resolved precursor data provides a rich source of unexploited information. …"
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    Proposed method approach. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    LSTM model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    Descriptive statistics. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    CNN-LSTM Model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    MLP Model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    RNN Model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    CNN Model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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    Bi-directional LSTM Model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 2024
    "…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
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