ISIPTA'07: Proceedings of the Fifth International Symposium on Imprecise Probability: Theories and Applications

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Towards scalable Bayesian nonparametric methods for data analytics

Resorting big data to actionable information involves dealing with four dimensions of challenges in big data (called four V&rsquo;s): volume, variety, velocity, veracity. In this study, we seek for novel Bayesian nonparametric models and scalable learning algorithms which can deal with these challenges of the big data era.<br /