Results 11 to 20 of about 392,453 (267)
MedEdPublish, 2022 Background: Recognition of Distributed Medical Education (DME) preceptors by medical schools ensures that important community-based training opportunities remain available to learners.
Aaron Johnston +3 more
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MedEdPublish, 2022 Background: Medical schools spend considerable time, effort, and money on recognition initiatives for rural and distributed medical education (DME) faculty.
Rebecca Malhi +9 more
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2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted by CVPR ...
Yuning Lu +4 more
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Making the Institutional Business Case for Introducing Learning Design Tools
Journal of Interactive Media in Education, 2005 Commentary on: Chapter 21: Challenges in the Wider Adoption of Learning Design: Two Exploratory Case Studies. (Griffiths, Blat, Casado, GarcÃa, MartÃnez, Sayago, 2005) Abstract: This paper explores constraints around institutions, particularly in ...
Gayle Calverley
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A Survey From Distributed Machine Learning to Distributed Deep Learning
CoRR, 2023 Artificial intelligence has made remarkable progress in handling complex tasks, thanks to advances in hardware acceleration and machine learning algorithms. However, to acquire more accurate outcomes and solve more complex issues, algorithms should be trained with more data.
Mohammad Dehghani, Zahra Yazdanparast
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Distributed One-Class Learning [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 We propose a cloud-based filter trained to block third parties from uploading privacy-sensitive images of others to online social media. The proposed filter uses Distributed One-Class Learning, which decomposes the cloud-based filter into multiple one-class classifiers.
Shamsabadi, AS, Haddadi, H, Cavallaro, A
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Using the Photovoice Method to Elicit Authentic Learning in Online Discussions
Journal of Teaching and Learning with Technology, 2018 While online discussions remain popular in college classrooms, mixed results persist about their effectiveness in eliciting authentic learning. This case study explores how students perceive the influence of the Photovoice method on their authentic ...
Beatriz M Reyes-Foster, Aimee DeNoyelles
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Learning poisson binomial distributions [PDF]
Proceedings of the forty-fourth annual ACM symposium on Theory of computing, 2012 Revised full version. Improved sample complexity bound of O~(1/eps^2)
Constantinos Daskalakis +2 more
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Straggler- and Adversary-Tolerant Secure Distributed Matrix Multiplication Using Polynomial Codes
Entropy, 2023 Large matrix multiplications commonly take place in large-scale machine-learning applications. Often, the sheer size of these matrices prevent carrying out the multiplication at a single server.
Eimear Byrne +2 more
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Learning to Augment Distributions for Out-of-distribution Detection
Advances in Neural Information Processing Systems 36, 2023 Open-world classification systems should discern out-of-distribution (OOD) data whose labels deviate from those of in-distribution (ID) cases, motivating recent studies in OOD detection. Advanced works, despite their promising progress, may still fail in the open world, owing to the lack of knowledge about unseen OOD data in advance.
Qizhou Wang +5 more
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