Results 31 to 40 of about 185,860 (265)
, 2017 Dropout is used as a practical tool to obtain uncertainty estimates in large vision models and reinforcement learning (RL) tasks. But to obtain well-calibrated uncertainty estimates, a grid-search over the dropout probabilities is necessary - a prohibitive operation with large models, and an impossible one with RL.
Gal, Y, Hron, J, Kendall, A
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The dropout learning algorithm [PDF]
Artificial Intelligence, 2014 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
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Frontiers in Psychology, 2020 BackgroundIn a situation of compulsory home isolation enacted by governments at the spreading of the Covid-19 pandemic, the emotional health and well-being of students became a key factor in the successful implementation of distance teaching ...
Manuel Fernández Cruz +10 more
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Mapping the Dropout Phenomenon for the New Digital Context
Ubiquity Proceedings, 2023 Open, distance, and digital education (ODDE) has a long history concerning dropout. With the new reality of the digital age, the terminologies and concepts that have been long adopted are inevitably subject to change. To understand dropout in the digital
Berrin Cefa, Olaf Zawacki-Richter
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2017 IEEE International Conference on Computer Vision (ICCV), 2017 Dropout is a very effective way of regularizing neural networks. Stochastically "dropping out" units with a certain probability discourages over-specific co-adaptations of feature detectors, preventing overfitting and improving network generalization.
Pietro Morerio +4 more
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The key reasons for dropout in Slovenian music schools – a qualitative study
Frontiers in PsychologyMusic education often struggles to sustain students’ long-term commitment, with many perceiving lessons as frustrating or unengaging, leading to discontinuation.
Ana Kavčič Pucihar +3 more
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Dropout intention: a valid predictor of actual dropout?
Empirical Research in Vocational Education and TrainingEvidence on the extent to which dropout intention can serve as a valid predictor of dropout decisions remains scarce. This study first presents the results of a systematic literature review of 14 studies examining the relationship between dropout ...
Stefanie Findeisen +4 more
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.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
Molecular Oncology, EarlyView.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
Arquivos Brasileiros de Cardiologia, 2001 OBJECTIVE: To determine the characteristics associated with the dropout of patients followed up in a Brazilian out patient clinic specializing in hypertension.
Renné Gusmão Busnello +6 more
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