Bayesian Top Scoring Pairs for Feature Selection Conference Paper uri icon

abstract

  • 2017 IEEE. We propose a novel feature selection approach based on the Bayesian Top Scoring Pairs (BTSP) method. We compare its performance against well-known feature selection methods, under SVM, k-NN and NB classification rules, by means of an extensive numerical experiment using real gene-expression data sets. Results demonstrate the promise of the BTSP feature selection approach in the analysis of high-dimensional biological data.

name of conference

  • 2017 51st Asilomar Conference on Signals, Systems, and Computers

published proceedings

  • 2017 51st Asilomar Conference on Signals, Systems, and Computers

author list (cited authors)

  • Arslan, E., & Braga-Neto, U. M.

citation count

  • 2

complete list of authors

  • Arslan, Emre||Braga-Neto, Ulisses M

publication date

  • October 2017