Results 41 to 50 of about 85,546 (299)

On the Inductive Bias of Dropout

open access: yesCoRR, 2014
Dropout is a simple but effective technique for learning in neural networks and other settings. A sound theoretical understanding of dropout is needed to determine when dropout should be applied and how to use it most effectively. In this paper we continue the exploration of dropout as a regularizer pioneered by Wager, et.al.
David P. Helmbold, Philip M. Long
openaire   +3 more sources

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

open access: yesMolecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński   +12 more
wiley   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

open access: yesFEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty   +13 more
wiley   +1 more source

Genetic dissection of human ABCE1 in yeast reveals separable requirements for ribosome recycling and suppression of aberrant reinitiation

open access: yesFEBS Open Bio, EarlyView.
Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata   +3 more
wiley   +1 more source

Understanding school dropout among adolescents in a rural site of southern Zambia [PDF]

open access: yes, 2009
Includes bibliographical references (p. 222-233).The study of school dropout in Zambia is still in its infancy. Apart from the countrywide annual surveys conducted by the Ministry of Education, no in-depth study on school dropout seems to have been ...
Munsaka, Ecloss
core   +1 more source

Psychosocial Factors Associated With Dropout, Performance and Adjustment in University First Year:  A Systematic Review of Reviews

open access: yesRevista Electrónica Educare
Objective. The current systematic review of reviews looked to identify psychosocial factors of dropout, adjustment and academic performance in first year university students and with thereby contribute to a current and comprehensive identification of ...
Nicolás Reyes-González   +1 more
doaj   +1 more source

Study of the Factors Responsible for the Dropouts from the BSc Programme of Indira Gandhi National Open University

open access: yesInternational Review of Research in Open and Distributed Learning, 2006
A sample of dropout learners enrolled in the B.Sc. programme of School of Sciences, Indira Gandhi National Open University, India was surveyed to study the factors which influenced them to withdraw from the programme.
Bharat Inder Fozdar   +2 more
doaj   +1 more source

Types of school dropouts [PDF]

open access: yes, 2009
Die deutschsprachige Bildungsforschung setzt sich in jüngster Zeit verstärkt mit Schulabbrechern ("Dropouts") auseinander. Selten wird dabei untersucht, wer diese Dropouts sind und ob sie sich möglicherweise voneinander unterscheiden. Dieser Frage widmet
Stamm, Margrit
core   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

DISTA-CSNet: Efficient Data Aware Deep Learning Model for CS MRI Recovery

open access: yesIEEE Access
This research paper explores the rising interest in utilising deep learning methods, specifically Convolution Neural Network (CNN), to improve the reconstruction of Compressively Sampled Magnetic Resonance Imaging (CS MRI) images from under-sampled data.
Hassaan Haider   +4 more
doaj   +1 more source

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