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 ...

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 ...

Community ecologists and conservation biologists often work with data that are too sparse for achieving reliable inference with species-specific approaches. Here we explore the idea of combining ...

Elizabeth R. Brown, Joseph G. Ibrahim, A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data, Biometrics, Vol. 59, No. 2 (Jun., 2003 ...