"Undersampling Techniques to Re-balance Training Data for Large Scale ..."

Muhammad Ibrahim, Mark James Carman (2014)

> Home

Details and statistics

DOI: 10.1007/978-3-319-12844-3_38

access: closed

type: Conference or Workshop Paper

metadata version: 2020-10-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/airs/IbrahimC14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/airs/IbrahimC14
Muhammad Ibrahim, Mark James Carman:
Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank. AIRS 2014: 444-457

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.