بدائل البحث:
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
settings algorithm » hastings algorithm (توسيع البحث), routing algorithm (توسيع البحث), sorting algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
data settings » care settings (توسيع البحث), many settings (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » modeling algorithm (توسيع البحث), routing algorithm (توسيع البحث), tracking algorithm (توسيع البحث)
settings algorithm » hastings algorithm (توسيع البحث), routing algorithm (توسيع البحث), sorting algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data processing » image processing (توسيع البحث)
data settings » care settings (توسيع البحث), many settings (توسيع البحث)
element » elements (توسيع البحث)
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Graphical illustration of a spectral approach for training support vector machine.
منشور في 2025الموضوعات: -
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Accuracy of the support vector machines for different proportion of test samples.
منشور في 2025الموضوعات: -
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Accuracy of the proposed method using SVM combined with the uniform window.
منشور في 2025الموضوعات: -
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Data Sheet 1_Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty.pdf
منشور في 2025"…One approach to improve trustworthiness and fairness in AI systems is to use bias mitigation algorithms. However, most bias mitigation algorithms require data sets that contain sensitive attribute values to assess the fairness of the algorithm. …"
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Algorithm for constructing Boot-t CIs.
منشور في 2024"…Finally, we demonstrate effectiveness of our estimation method in practical applications using a set of real data.</p></div>…"
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ROC curves of the training set and the testing set under the XGBoost algorithm.
منشور في 2025الموضوعات: -
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Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf
منشور في 2025"…This study aims to predict the spatial distribution of nematode associations from 25 m to 2500 m water depth over an area of 350,000 km² and understand the major oceanographic processes influencing them. The study considered data from 245 nematode genera and 44 environmental parameters from 100 stations. …"
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Datasets and experimental settings.
منشور في 2025"…The five interconnected modules constituting the architecture include (i) multi-source data collection using RESTful APIs; (ii) weighted preprocessing pipelines using tokenization, lemmatization, and normalization; (iii) Adam algorithm-optimized model training and cross-entropy loss minimization-based training; (iv) adaptive real-time processing using dynamic window segmentation; and (v) an ongoing refinement loop using continuous user inputs, triggered by a feedback mechanism. …"
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