"Gradient-Based Training of Gaussian Mixture Models for High-Dimensional ..."

Alexander Gepperth, Benedikt Pfülb (2021)

> Home

Details and statistics

DOI: 10.1007/S11063-021-10599-3

access: closed

type: Journal Article

metadata version: 2021-12-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/npl/GepperthP21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/npl/GepperthP21
Alexander Gepperth, Benedikt Pfülb:
Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data. Neural Process. Lett. 53(6): 4331-4348 (2021)

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.