General Table Completion using a Bayesian Nonparametric Model

NeurIPS 2014 Isabel ValeraZoubin Ghahramani

Even though heterogeneous databases can be found in a broad variety of applications, there exists a lack of tools for estimating missing data in such databases. In this paper, we provide an efficient and robust table completion tool, based on a Bayesian nonparametric latent feature model... (read more)

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