بدائل البحث:
modeling algorithm » mining algorithm (توسيع البحث), matching algorithm (توسيع البحث), boosting algorithm (توسيع البحث)
sampling algorithm » mining algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
modeling algorithm » mining algorithm (توسيع البحث), matching algorithm (توسيع البحث), boosting algorithm (توسيع البحث)
sampling algorithm » mining algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
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Discovery of Ternary Antimonides A–Al–Sb (A = Rb or Cs) with Desired Structural Motifs Guided by Machine Learning
منشور في 2024"…Their structures were broadly classified as clathrate, channel, layered, or network through a machine learning model trained on existing ternary phases and features based on elemental properties using the sure independence screening and sparsifying operator algorithm. …"
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Machine learning unveils the complex nonlinearity of concrete materials’ uniaxial compressive strength
منشور في 2024"…Different machine learning algorithms, including ensemble models like Classification and regression trees (CART), XGBoost (XGB), Bagging (Bagg), AdaBoost (AdaBo) and Random Forest Regression (RF), and non-ensemble models like Ridge regression (RR), Partial least square (PLS), K-Nearest Neighbors algorithm (KNN) were used. …"
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Mean perceived motivational impact when the algorithms are off/on per algorithm complexity level.
منشور في 2022الموضوعات: -
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Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization
منشور في 2023"…Four-step feature selection was performed, with the selection of 12 and 8 features for the <i>D</i> and <i>H</i> prediction models based on the optimal algorithms of the support vector machine (SVR) and light gradient boosting machine (LightGBM), respectively. …"
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226
Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization
منشور في 2023"…Four-step feature selection was performed, with the selection of 12 and 8 features for the <i>D</i> and <i>H</i> prediction models based on the optimal algorithms of the support vector machine (SVR) and light gradient boosting machine (LightGBM), respectively. …"
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Results of the SNMR kernel functions for different typical geological models.
منشور في 2022الموضوعات: -
236
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Sample diagram of yielding components.
منشور في 2024"…However, there are certain limitations in this study, such as the effectiveness of the algorithm may be influenced by geological conditions; the complexity of actual geological conditions may exceed the assumptions of the current rock-support mechanical analysis model.…"
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240