"A fast and scalable supervised topic model using stochastic variational ..."

Wenzhuo Song et al. (2016)

> Home

Details and statistics

DOI: 10.1109/ICNIDC.2016.7974542

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icnidc/SongYZL16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icnidc/SongYZL16
Wenzhuo Song, Bo Yang, Xuehua Zhao, Fei Li:
A fast and scalable supervised topic model using stochastic variational inference and MapReduce. IC-NIDC 2016: 94-98

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.