2.1 Mixed-Membership Stochastic Block-Models for Transactional Data (Hugh Chipman)

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Par Universite Paris 1 Pantheon-Sorbonne, découvert par Player FM et notre communauté - Le copyright est détenu par l'éditeur, non par Player F, et l'audio est diffusé directement depuis ses serveurs. Appuyiez sur le bouton S'Abonner pour suivre les mises à jour sur Player FM, ou collez l'URL du flux dans d'autre applications de podcasts.
Transactional network data arise in many fields. Although social network models have been applied to transactional data, these models typically assume binary relations between pairs of nodes. We develop a latent mixed membership model capable of modelling richer forms of transactional data. Estimation and inference are accomplished via a variational EM algorithm. Simulations indicate that the learning algorithm can recover the correct generative model. We further present results on a subset of the Enron email dataset. This is a joint work with Mahdi Shafiei.

12 episodes