Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling

19 May 2017 • Hongyi Ding • Mohammad Emtiyaz Khan • Issei Sato • Masashi Sugiyama

Analyzing the underlying structure of multiple time-sequences provides insights into the understanding of social networks and human activities. In this work, we present the \emph{Bayesian nonparametric Poisson process allocation} (BaNPPA), a latent-function model for time-sequences, which automatically infers the number of latent functions... (read more)

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