"Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum ..."

Md. Shamsul Huda, John Yearwood, Andrew Stranieri (2010)

> Home

Details and statistics

DOI: 10.1109/NSS.2010.7

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-23

- view
  authority control:
- export record
  dblp key:
  - conf/nss/HudaYS10
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nss/HudaYS10
Md. Shamsul Huda, John Yearwood, Andrew Stranieri:
Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum Relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA). NSS 2010: 442-449

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.