Results 31 to 40 of about 63,859 (268)
Perceptions of Peer Tutoring at a University in Chile
The purpose of this Action Research study is to explore students' perceptions of their experience in an Academic Support Program* (ASP) implemented in a Chilean university to align students' lack of competencies to the minimum required to be able to ...
Silvina Silvina Zapata
doaj +1 more source
The dropout learning algorithm [PDF]
Dropout is a recently introduced algorithm for training neural network by randomly dropping units during training to prevent their co-adaptation. A mathematical analysis of some of the static and dynamic properties of dropout is provided using Bernoulli gating variables, general enough to accommodate dropout on units or connections, and with variable ...
Pierre Baldi, Peter J. Sadowski
openaire +3 more sources
Improving the Cavalieri estimator under non-equidistant sampling and dropouts
Motivated by the stereological problem of volume estimation from parallel section profiles, the so-called Newton-Cotes integral estimators based on random sampling nodes are analyzed.
Mads Stehr, Markus Kiderlen
doaj +1 more source
Implementation CIPP Evaluation of Keaksaraan Usaha Mandiri Program
The number of illiterate populations in 2019 aged 15-59 years was 3,474,694 people spread throughout the Regency/City in Indonesia. Since 2005 the government has published an independent business literacy program as part of efforts to eradicate ...
Andang Heryahya +2 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
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
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +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
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

