The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine learning based prediction models. This paper introduces the ImageNet ...
Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
Mark J. Brewer, João A. N. Filipe, David A. Elston, Lorna A. Dawson, Robert W. Mayes, Chris Soulsby and Sarah M. Dunn This article introduces a hierarchical model for compositional analysis. Our ...
This is a preview. Log in through your library . Abstract We propose a novel Bayesian hierarchical model for brain imaging data that unifies voxel-level (the most localized unit of measure) and region ...
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