Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...
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 ...
Proceedings of the National Academy of Sciences of the United States of America, Vol. 117, No. 39 (September 29, 2020), pp. 24173-24179 (7 pages) Population estimates are critical for government ...
This is a preview. Log in through your library . Abstract In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model ...
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