Results 11 to 20 of about 11,289,377 (286)
Liber Quarterly: The Journal of European Research Libraries, 2011 As library materials are catalogued by public organisations and librarians are active promoters of the principles of open access, one would expect library data to be freely available to all. Yet this is not the case.
Raymond Bérard
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Reference-free phylogeny from sequencing data
BioData Mining, 2023 Motivation Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in the past, or ...
Petr Ryšavý, Filip Železný
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Proc (Bayl Univ Med Cent), 2009 I It has become evident that everyone in medicine, other than physicians, uses administrative data to compare, rank, and evaluate us and our hospital either directly or indirectly. We often scoff at the shortcomings of these data, stating that they are inaccurate, flawed, and useless to our practice.
Lembcke BT.
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Conditional generative data-free knowledge distillation [PDF]
Image and Vision Computing, 2022 Knowledge distillation has made remarkable achievements in model compression. However, most existing methods require the original training data, which is usually unavailable due to privacy and security issues. In this paper, we propose a conditional generative data-free knowledge distillation (CGDD) framework for training lightweight networks without ...
Yu, Xinyi +4 more
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Genetic Testing and Molecular Biomarkers, 2014 It is probable that there are both genetic and environmental risk factors for breast and/or ovarian cancer. Adequate evidence suggests that mutations in the BRCA1 and BRCA2 genes are associated with an increased risk of breast and ovarian cancer, and perhaps other cancers as well (U.S. Preventive Services Task Force, 2013).
Katherine, Lambertson, Sharon F, Terry
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Data-Free Model Extraction [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Current model extraction attacks assume that the adversary has access to a surrogate dataset with characteristics similar to the proprietary data used to train the victim model. This requirement precludes the use of existing model extraction techniques on valuable models, such as those trained on rare or hard to acquire datasets.
Truong, Jean-Baptiste +3 more
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Model-Free Data-Driven inelasticity [PDF]
Computer Methods in Applied Mechanics and Engineering, 2019 We extend the Data-Driven formulation of problems in elasticity of Kirchdoerfer and Ortiz (2016) to inelasticity. This extension differs fundamentally from Data-Driven problems in elasticity in that the material data set evolves in time as a consequence of the history dependence of the material.
R. Eggersmann +4 more
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Data-free knowledge distillation via generator-free data generation for Non-IID federated learning
Neural Networks, 2023 Abstract Data heterogeneity (Non-IID) on Federated Learning (FL) is currently a widely publicized problem, which leads to local model drift and performance degradation. Because of the advantage of knowledge distillation, it has been explored in some recent work to refine global models. However, these approaches rely on a proxy dataset or a data
Siran Zhao +5 more
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Adaptive Data-Free Quantization
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 9 pages, 6 figures, Refined camera ready version for CVPR ...
Qian, Biao +3 more
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Open-Source Flight Data: Free, but at What Cost?
Engineering Proceedings, 2022 The proliferation of open-source flight data has been heralded throughout the aviation industry, from air traffic service providers seeking efficiencies to the voyeuristic tracking of celebrity aircraft movements.
James Norman
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