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Online Learning with Ensembles [PDF]
Physical Review E, 1999 Supervised online learning with an ensemble of students randomized by the choice of initial conditions is analyzed. For the case of the perceptron learning rule, asymptotically the same improvement in the generalization error of the ensemble compared to ...
G. Reents +8 more
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Frontiers in Pediatrics, 2023 BackgroundExecutive functions (EFs) are a set of neuropsychological skills permitting solving problems in a new situation by regulating action, behavior, and emotional response. As cerebral maturation remains vulnerable in preterm children, a higher risk
Magali Reynold de Seresin +17 more
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Energies, 2023 Accurate multivariate load forecasting plays an important role in the planning management and safe operation of integrated energy systems. In order to simultaneously reduce the prediction bias and variance, a hybrid ensemble learning method for load ...
Wenxia You +3 more
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A comprehensive review on ensemble deep learning: Opportunities and challenges
Journal of King Saud University: Computer and Information Sciences, 2023 In machine learning, two approaches outperform traditional algorithms: ensemble learning and deep learning. The former refers to methods that integrate multiple base models in the same framework to obtain a stronger model that outperforms them.
Ammar Mohammed, Rania Kora
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CNN Ensemble learning method for Transfer learning: A Review
Ilkom Jurnal Ilmiah, 2023 This study provides a review of CNN's ensemble learning method for transfer learning by highlighting sections such as review studies, datasets, pre-trained models, transfer learning, ensemble learning, and performance.
Yudha Islami Sulistya +2 more
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Driver Distraction Classification Using Deep Convolutional Autoencoder and Ensemble Learning
IEEE Access, 2023 The study of real-time classification for driver distraction provides new insights into the understanding of behavioral and cognitive reasons behind it. Among various approaches, deep learning models show better performance and can be utilized for a real-
Anirudh Muthuswamy +3 more
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Ensemble machine learning methods in screening electronic health records: A scoping review
Digital Health, 2023 Background Electronic health records provide the opportunity to identify undiagnosed individuals likely to have a given disease using machine learning techniques, and who could then benefit from more medical screening and case finding, reducing the ...
Christophe AT Stevens +6 more
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Argumentation based joint learning: a novel ensemble learning approach. [PDF]
PLoS ONE, 2015 Recently, ensemble learning methods have been widely used to improve classification performance in machine learning. In this paper, we present a novel ensemble learning method: argumentation based multi-agent joint learning (AMAJL), which integrates ...
Junyi Xu, Li Yao, Le Li
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Mixed Ensemble Learning In Extracurricular Student Of SMPN 15 Palembang
JSM (Jurnal Seni Musik), 2021 This study aims to describe mixed ensemble learning in extracurricular activities in class IX students of SMP Negeri 15 Palembang. The research method used is descriptive qualitative with data collection techniques in the form of observation, interviews,
Gilank Yonsutrisno +2 more
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Classification Uncertainty Minimization-based Semi-supervised Ensemble Learning Algorithm [PDF]
Jisuanji kexue, 2023 Semi-supervised ensemble learning(SSEL) is a combinatorial paradigm by fusing semi-supervised learning and ensemble learning together,which improves the diversity of ensemble learning by introducing unlabeled samples and at the same time solves the ...
HE Yulin, ZHU Penghui, HUANG Zhexue, Fournier-Viger PHILIPPE
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