Results 41 to 50 of about 85,546 (299)
On the Inductive Bias of Dropout
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
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
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
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]
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
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
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]
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
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
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

