"A Theoretical Framework on the Ideal Number of Classifiers for Online ..."

Hamed R. Bonab, Fazli Can (2016)

> Home

Details and statistics

DOI: 10.1145/2983323.2983907

access: closed

type: Conference or Workshop Paper

metadata version: 2025-01-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cikm/BonabC16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cikm/BonabC16
Hamed R. Bonab, Fazli Can:
A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams. CIKM 2016: 2053-2056

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.