|
|
|
|
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 |
|
|