Results 11 to 20 of about 185,860 (265)
AbstractDespite of its importance for safe machine learning, uncertainty quantification for neural networks is far from being solved. State-of-the-art approaches to estimate neural uncertainties are often hybrid, combining parametric models with explicit or implicit (dropout-based) ensembling.
Joachim Sicking +5 more
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Knowing the factors affecting girls’ dropping out is very important. In spite of stipends, free schoolbooks and other incentives given by the government, girls’ dropout rate at the secondary level is not decreasing as expected in Bangladesh.
Ety Rani, Wardatul Akmam
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Student dropout in primary and secondary education in the Republic of Serbia [PDF]
Student dropout from school is a serious problem in educational systems all over the world. This paper will provide an overview of the various dropout definitions and their consequences for measuring and monitoring.
Krstić Ksenija +2 more
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Education is important to society, yet many students do not complete the educations they start. In the present study of 426 students at a Norwegian university, we examined the predictive value of study-related variables with regard to student status one ...
Rannveig Grøm Sæle +3 more
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IntroductionPerinatal depression affects mothers, babies and society. Preventive interventions are needed, but face barriers to access. E-health interventions could be an effective and accessible option.
María F. Rodriguez-Muñoz +7 more
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Dropout Time and Learners’ Performance in Computer Programming MOOCs
One of the problems regarding MOOCs (Massive Open Online Courses) is the high dropout rate. Although dropout periods have been studied, there is still a lack of understanding of how dropout differs for MOOCs with different levels of difficulty.
Marili Rõõm, Marina Lepp, Piret Luik
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Academic Emotions and Regulation Strategies: Interaction with Higher Education Dropout Ideation
(1) Introduction: This article addresses the relationship between students’ emotional experiences—mediated by their regulation strategies—and their intention of dropping out. (2) Materials and Methods: An ad hoc questionnaire was designed based on Pekrun’
Daniel Enguídanos +4 more
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Neural Network Algorithm with Dropout Using Elite Selection
A neural network algorithm is a meta-heuristic algorithm inspired by an artificial neural network, which has a strong global search ability and can be used to solve global optimization problems.
Yong Wang, Kunzhao Wang, Gaige Wang
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Dropout is an effective regularization method for deep learning tasks. Several variants of dropout based on sampling with different distributions have been proposed individually and have shown good generalization performance on various learning tasks ...
Lei Liu +4 more
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