Results 1 to 10 of about 392,453 (267)

A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm [PDF]

Frontiers in Artificial Intelligence
Distributed learning is a promising alternative to central learning for machine learning (ML) model training, overcoming data-sharing problems in healthcare. Previous studies exploring federated learning (FL) or the traveling model (TM) setup for medical
Raissa Souza, Raissa Souza, Raissa Souza, Raissa Souza, Emma A. M. Stanley, Emma A. M. Stanley, Emma A. M. Stanley, Emma A. M. Stanley, Milton Camacho, Milton Camacho, Milton Camacho, Milton Camacho, Richard Camicioli, Oury Monchi, Oury Monchi, Oury Monchi, Oury Monchi, Oury Monchi, Zahinoor Ismail, Zahinoor Ismail, Zahinoor Ismail, Zahinoor Ismail, Matthias Wilms, Matthias Wilms, Matthias Wilms, Matthias Wilms, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert   +29 more
doaj   +2 more sources

Practical Tips for using a Human Library approach In medical education [version 1; peer review: 1 approved, 2 approved with reservations]

MedEdPublish, 2023
A Human Library is a structured event that brings people from different groups together. It simulates the format of a customary library, with ‘Readers’ borrowing ‘Books’, who are human volunteers sharing their lived experiences and perspectives.
Rebecca Malhi, Aaron Johnston, Javeria Shafiq, Grace Perez   +3 more
doaj   +1 more source

Label Distribution Learning [PDF]

2013 IEEE 13th International Conference on Data Mining Workshops, 2013
Although multi-label learning can deal with many problems with label ambiguity, it does not fit some real applications well where the overall distribution of the importance of the labels matters. This paper proposes a novel learning paradigm named label distribution learning (LDL) for such kind of applications.
Xin Geng 0001, Rongzi Ji
openaire   +3 more sources

Learning with distributional inverters

CoRR, 2021
We generalize the "indirect learning" technique of Furst et. al., 1991 to reduce from learning a concept class over a samplable distribution $μ$ to learning the same concept class over the uniform distribution. The reduction succeeds when the sampler for $μ$ is both contained in the target concept class and efficiently invertible in the sense of ...
Eric Binnendyk, Marco Carmosino, Antonina Kolokolova, R. Ramyaa, Manuel Sabin   +4 more
openaire   +3 more sources

Distributed dictionary learning [PDF]

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016
The paper studies distributed Dictionary Learning (DL) problems where the learning task is distributed over a multi-agent network with time-varying (nonsymmetric) connectivity. This formulation is relevant, for instance, in big-data scenarios where massive amounts of data are collected/stored in different spatial locations and it is unfeasible to ...
Daneshmand, Amir, Scutari, Gesualdo, FACCHINEI, Francisco   +2 more
openaire   +3 more sources

Learning (With) Distributed Optimization

CoRR, 2023
23 ...
Aadharsh Aadhithya A, Abinesh S, Akshaya J, Jayanth M, Vishnu Radhakrishnan, Sowmya Vishvanathan 0001, Soman K. P   +6 more
openaire   +2 more sources

Physics webpages create barriers to participation for people with disabilities: five common web accessibility errors and possible solutions

International Journal of STEM Education, 2021
Background While there have been numerous calls to increase the participation of people with disabilities in STEM, many postsecondary institutions are not equipped to support students with disabilities.
Erin Scanlon, Zachary W. Taylor, John Raible, Jacob Bates, Jacquelyn J. Chini   +4 more
doaj   +1 more source

NISQ-Ready Community Detection Based on Separation-Node Identification

Mathematics, 2023
The analysis of network structure is essential to many scientific areas ranging from biology to sociology. As the computational task of clustering these networks into partitions, i.e., solving the community detection problem, is generally NP-hard ...
Jonas Stein, Dominik Ott, Jonas Nüßlein, David Bucher, Mirco Schönfeld, Sebastian Feld   +5 more
doaj   +1 more source

Distributed Experiments and Distributed Learning

International Journal of Online and Biomedical Engineering (iJOE), 2020
The paper, an enhanced version of conference key presentation, investigates, how the development of new needs in education and developments in IT triggered technology enhanced learning. Online labs play an important in that area. Federation of labs is the new direction to answer the challenges, which come from the intensive use of online labs in the ...
Andreas Pester, Thomas Klinger
openaire   +2 more sources

Rewards and recognition for Canadian distributed medical education preceptors: a qualitative analysis [version 1; peer review: 2 approved]

MedEdPublish, 2022
Background: Recognition of Distributed Medical Education (DME) preceptors by medical institutions ensures that important community-based training opportunities remain available to learners.
Aaron Johnston, Rebecca Malhi, Edward Makwarimba, Amanda Bell   +3 more
doaj   +1 more source