Search alternatives:
based optimization » whale optimization (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
a bayesian » _ bayesian (Expand Search)
primary a » primary _ (Expand Search), primary i (Expand Search), primary aim (Expand Search)
based optimization » whale optimization (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
a bayesian » _ bayesian (Expand Search)
primary a » primary _ (Expand Search), primary i (Expand Search), primary aim (Expand Search)
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Models’ performance without optimization.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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RNN performance comparison with/out optimization.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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XNet: A Bayesian Approach to Extracted Ion Chromatogram Clustering for Precursor Mass Spectrometry Data
Published 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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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
Published 2021“…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …”
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Proposed method approach.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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LSTM model performance.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”
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Descriptive statistics.
Published 2024“…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …”