Results 21 to 30 of about 8,207,067 (292)
Learning sites for health system governance in Kenya and South Africa: reflecting on our experience
Health Research Policy and Systems, 2020 Background Health system governance is widely recognised as critical to well-performing health systems in low- and middle-income countries. However, in 2008, the Alliance for Health Policy and Systems Research identified governance as a neglected health ...
The RESYST/DIAHLS learning site team
doaj +1 more source
, 2021 We consider reservoirs in the form of liquid state machines, i.e., recurrently connected networks of spiking neurons with randomly chosen weights. So far only the weights of a linear readout were adapted for a specific task. We wondered whether the performance of liquid state machines can be improved if the recurrent weights are chosen with a purpose ...
Anand Subramoney +2 more
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Federated Learning: Challenges, Methods, and Future Directions [PDF]
IEEE Signal Processing Magazine, 2019 Federated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or hospitals, while keeping data localized.
Tian Li +3 more
semanticscholar +1 more source
Cognitive Science, 2023 AbstractHumans can learn complex functional relationships between variables from small amounts of data. In doing so, they draw on prior expectations about the form of these relationships. In three experiments, we show that people learn to adjust these expectations through experience, learning about the likely forms of the functions they will encounter.
Michael Y. Li +4 more
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A Survey on Bias and Fairness in Machine Learning [PDF]
ACM Computing Surveys, 2019 With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems.
Ninareh Mehrabi +4 more
semanticscholar +1 more source
Online Learning: A Panacea in the Time of COVID-19 Crisis
Journal of Educational Technology Systems, 2020 Educational institutions (schools, colleges, and universities) in India are currently based only on traditional methods of learning, that is, they follow the traditional set up of face-to-face lectures in a classroom.
S. Dhawan
semanticscholar +1 more source
Learning to Compare: Relation Network for Few-Shot Learning [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 We present a conceptually simple, flexible, and general framework for few-shot learning, where a classifier must learn to recognise new classes given only few examples from each.
Flood Sung +5 more
semanticscholar +1 more source
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Numerous deep learning applications benefit from multitask learning with multiple regression and classification objectives. In this paper we make the observation that the performance of such systems is strongly dependent on the relative weighting between
Alex Kendall, Y. Gal, R. Cipolla
semanticscholar +1 more source
A survey on deep learning in medical image analysis [PDF]
Medical Image Anal., 2017 Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 ...
G. Litjens +8 more
semanticscholar +1 more source
Learning in the Learning Organization [PDF]
J. Univers. Comput. Sci., 2001 JUCS - Journal of Universal Computer Science Volume Nr.
openaire +3 more sources