Results 21 to 30 of about 185,860 (265)
Compliance to Continuous Positive Airway Pressure therapy in patients with obstructive sleep apnea – long-term assessment [PDF]
Sleep ScienceIntroduction: To assess CPAP acquirement, compliance, and dropout rates among OSA patients three years after the prescription. Material and Methods: We assessed CPAP acquirement (Acq), compliance (Comp), and dropout (Dout) through a telephone ...
Josefina Pascua +4 more
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Assessing the Role of the Coach in Terms of Dropping out from Youth Sports
Central European Journal of Educational Research, 2022 Much of international research deals with the subject, so we can say that probably one of the most important issues in the field of youth education today is to explore the causes of early drop-out from organised sport.
Zsolt Szakál
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Persistence and Dropout in Higher Online Education: Review and Categorization of Factors
Frontiers in Psychology, 2022 Online learning is becoming more popular with the maturity of social and educational technologies. In the COVID-19 era, it has become one of the most utilized ways to continue academic pursuits.
Umair Uddin Shaikh, Zaheeruddin Asif
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Student Dropout Prediction [PDF]
, 2020 Among the many open problems in the learning process, students dropout is one of the most complicated and negative ones, both for the student and the institutions, and being able to predict it could help to alleviate its social and economic costs. To address this problem we developed a tool that, by exploiting machine learning techniques, allows to ...
Del Bonifro F. +3 more
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CoRR, 2016 Deep Neural Networks often require good regularizers to generalize well. Dropout is one such regularizer that is widely used among Deep Learning practitioners. Recent work has shown that Dropout can also be viewed as performing Approximate Bayesian Inference over the network parameters.
Suraj Srinivas, R. Venkatesh Babu
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Übergangslösungen beim Eintritt in die Schweizer Berufsbildung: Brückenschlag oder Sackgasse?
Swiss Journal of Sociology, 2016 Am Übergang in nachobligatorische Ausbildungsgänge durchlaufen viele Jugendliche in der Schweiz eine sogenannte Übergangslösung oder ein Brückenangebot wie z. B. ein zehntes Schuljahr.
Sacchi Stefan, Meyer Thomas
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CoRR, 2017 Recurrent neural networks (RNNs) are important class of architectures among neural networks useful for language modeling and sequential prediction. However, optimizing RNNs is known to be harder compared to feed-forward neural networks. A number of techniques have been proposed in literature to address this problem.
Konrad Zolna +3 more
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Indian Journal of Social Psychiatry, 2022 Background: There are very few specialised hospital with quality assurance services catering to the needs of the elderly with mental illness. The concept of 'Appointment adherence' has received little attention in the field of geriatric mental health ...
Nitin Gupta, Subhash Das, Tanupreet Kaur
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Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Dropout is often used in deep neural networks to prevent over-fitting. Conventionally, dropout training invokes random drop of nodes from the hidden layers of a Neural Network. It is our hypothesis that a guided selection of nodes for intelligent dropout can lead to better generalization as compared to the traditional dropout.
Rohit Keshari +2 more
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Retention in MOOCS: some key factors
Ensaio, 2021 The dropping out of students in the Massive Open Online Courses (Mooc) has been the subject of debate and concern on the part of educational researchers and practitioners during the last decade.
Andrés Chiappe +1 more
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