Duration:
00:55:09
Number of views
40
Addition in a playlist
0
Number of favorites
0
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.
Infos
- Yannick Mahe (ymahe)
-
- Université Paris 1 Panthéon - Sorbonne (production)
- Hugh Chipman (Speaker)
- 21 juillet 2017 00:00
- Cours / MOOC / SPOC
- Anglais