2005
     
  A. Ahmad and L. Dey
  A feature selection technique for classificatory analysis
  Pattern Recognition Letters, Vol. 26, Nr. 1, pages 43-56
  2005
   
  N.H. Beltran, M.A. Duarte-Mermoud, S.A. Salah, M.A. Bustos, A.I. Pena-Neira, E.A. Loyola and J.W. Jalocha
  Feature selection algorithms using Chilean wine chromatograms as examples
  Journal of Food Engineering, Vol. 67, Nr. 4, pages 483-490
  2005
  URL
   
  R.B. Bhatt and M. Gopal
  On fuzzy-rough sets approach to feature selection
  Pattern Recognition Letters, Vol. 26, Nr. 7, pages 965-975
  2005
   
  R. Blanco, I. Inza, M. Merino and P. Larrañaga
  Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS
  Journal of Biomedical Informatics, Vol. ??, Nr. ?, pages ??-??
  2005
   
  S. Chauhan
  Fast real power contingency ranking using counter propagation network: feature selection by neuro-fuzzy model
  Electric Power Systems Research, Vol. 73, pages 343-352
  2005
   
  F.M. Coetzee
  Correcting the Kullback-Leibler distance for feature selection
  Pattern Recognition Letters, Vol. 26, Nr. 11, pages 1675-1683
  2005
  URL
   
  D. Huang and T.W.S. Chow
  Effective feature selection scheme using mutual information
  Neurocomputing, Vol. 63, pages 325–343
  2005
   
  R. Kumar, V.K. Jayaraman and B.D. Kulkarni
  An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples
  Pattern Recognition, Vol. 38, Nr. 1, pages 41–49
  2005
   
  F. Questier, R. Put, D. Coomans, B. Walczak and Y. Vander Heyden
  The use of CART and multivariate regression trees for supervised and unsupervised feature selection
  Chemometrics and Intelligent Laboratory Systems, Vol. 76, pages 45-54
  2005
   
  A. Tsymbal, M. Pechenizkiy and P. Cunningham
  Diversity in search strategies for ensemble feature selection
  Information Fusion, Vol. 6, pages 83-98
  2005
   
  Y. Wang, I.V. Tetko, M.A. Hall, E. Frank, A. Facius, K.F.X. Mayer and H.W. Mewes
  Gene selection from microarray data for cancer classification - a machine learning approach
  Computational Biology and Chemistry, Vol. 29, pages 37-46
  2005
   
  P. Zhang, B. Verma and K. Kumar
  Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection
  Pattern Recognition Letters, Vol. 26, Nr. 7, pages 909-919
  2005