بدائل البحث:
bayesian optimization » based optimization (توسيع البحث)
case optimization » based optimization (توسيع البحث), phase optimization (توسيع البحث), dose optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
a bayesian » _ bayesian (توسيع البحث)
based case » base case (توسيع البحث), based cancer (توسيع البحث)
primary a » primary _ (توسيع البحث), primary i (توسيع البحث), primary aim (توسيع البحث)
bayesian optimization » based optimization (توسيع البحث)
case optimization » based optimization (توسيع البحث), phase optimization (توسيع البحث), dose optimization (توسيع البحث)
binary based » library based (توسيع البحث), linac based (توسيع البحث), binary mask (توسيع البحث)
a bayesian » _ bayesian (توسيع البحث)
based case » base case (توسيع البحث), based cancer (توسيع البحث)
primary a » primary _ (توسيع البحث), primary i (توسيع البحث), primary aim (توسيع البحث)
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MSE for ILSTM algorithm in binary classification.
منشور في 2023"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"
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Models’ performance without optimization.
منشور في 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.
منشور في 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
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.
منشور في 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.
منشور في 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.
منشور في 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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CNN-LSTM Model performance.
منشور في 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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MLP Model performance.
منشور في 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 Model performance.
منشور في 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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CNN Model performance.
منشور في 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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Bi-directional LSTM Model performance.
منشور في 2024"…To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. …"