-
1
-
-
77957741951
-
On the mean accuracy of statistical pattern recognizers
-
Hughes, G.F.: On the mean accuracy of statistical pattern recognizers. IEEE Trans. Inform. Theory 14 (1968)
-
(1968)
IEEE Trans. Inform. Theory
, vol.14
-
-
Hughes, G.F.1
-
2
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence 97 (1997) 273-324
-
(1997)
Artificial Intelligence
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
4
-
-
0036324671
-
The role of feature selection in artificial neural network applications
-
Kavzoglu, T., Mather, P.M.: The role of feature selection in artificial neural network applications. Int. J. Remote Sensing 23 (2002) 2919-2937
-
(2002)
Int. J. Remote Sensing
, vol.23
, pp. 2919-2937
-
-
Kavzoglu, T.1
Mather, P.M.2
-
5
-
-
1642515064
-
Comparison of band selection results using different class separation measures in various day and night conditions
-
Sheffer, D., Ultchin, Y.: Comparison of band selection results using different class separation measures in various day and night conditions. In: Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX. Volume 5093. (2003) 452-461
-
(2003)
Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX
, vol.5093
, pp. 452-461
-
-
Sheffer, D.1
Ultchin, Y.2
-
6
-
-
0035391615
-
A new search algorithm for feature selection in hyperspectral remote sensing images
-
Serpico, S.B., Bruzzone, L.: A new search algorithm for feature selection in hyperspectral remote sensing images. IEEE Trans. Geosci. Remote Sensing 39 (2001) 1360-1367
-
(2001)
IEEE Trans. Geosci. Remote Sensing
, vol.39
, pp. 1360-1367
-
-
Serpico, S.B.1
Bruzzone, L.2
-
7
-
-
0013326060
-
Feature selection for classification
-
Dash, M., Liu, H.: Feature selection for classification. Intelligent Data Analysis 1 (1997) 131-156
-
(1997)
Intelligent Data Analysis
, vol.1
, pp. 131-156
-
-
Dash, M.1
Liu, H.2
-
9
-
-
0029256585
-
Determining input features for multilayer perceptrons
-
Belue, L.M., Bauer, K.W.: Determining input features for multilayer perceptrons. Neurocomputing 7 (1995) 111-121
-
(1995)
Neurocomputing
, vol.7
, pp. 111-121
-
-
Belue, L.M.1
Bauer, K.W.2
-
10
-
-
0342546478
-
Feature screening using signal-to-noise ratios
-
Bauer, K.W., Alsing, S.G., Greene, K.A.: Feature screening using signal-to-noise ratios. Neurocomputing 31 (2000) 29-44
-
(2000)
Neurocomputing
, vol.31
, pp. 29-44
-
-
Bauer, K.W.1
Alsing, S.G.2
Greene, K.A.3
-
11
-
-
0031245693
-
Feature analysis: Neural network and fuzzy set theoretic approaches
-
De, R.K., Pal, N.R., Pal, S.K.: Feature analysis: neural network and fuzzy set theoretic approaches. Pattern Recognition 30 (1997) 1579-1590
-
(1997)
Pattern Recognition
, vol.30
, pp. 1579-1590
-
-
De, R.K.1
Pal, N.R.2
Pal, S.K.3
-
15
-
-
0037983742
-
Data dimensionality reduction with application to simplifying rbf network structure and improving classification performance
-
Fu, X. J., Wang, L.P.: Data dimensionality reduction with application to simplifying rbf network structure and improving classification performance. IEEE Trans. Syst., Man, Cybern. B 33 (2003) 399-409
-
(2003)
IEEE Trans. Syst., Man, Cybern. B
, vol.33
, pp. 399-409
-
-
Fu, X.J.1
Wang, L.P.2
-
17
-
-
12844260916
-
Hybrid genetic algorithms for feature selection
-
Oh, I.S., Lee, J.S., Moon, B.R.: Hybrid genetic algorithms for feature selection. IEEE Trans. Pattern Anal. Machine Intell. 26 (2004) 1424-1437
-
(2004)
IEEE Trans. Pattern Anal. Machine Intell.
, vol.26
, pp. 1424-1437
-
-
Oh, I.S.1
Lee, J.S.2
Moon, B.R.3
-
18
-
-
0034227313
-
Dimensionality reduction using genetic algorithms
-
Raymer, M.L., Punch, W.F., Goodman, E.D., Kuhn, L.A., Jain, A.K.: Dimensionality reduction using genetic algorithms. IEEE Trans. Evol. Comput. 4 (2000) 164-171
-
(2000)
IEEE Trans. Evol. Comput.
, vol.4
, pp. 164-171
-
-
Raymer, M.L.1
Punch, W.F.2
Goodman, E.D.3
Kuhn, L.A.4
Jain, A.K.5
-
19
-
-
3843072084
-
Feature selection in mlps and svms based on maximum output information
-
Sindhwani, V., Rakshit, S., Deodhare, D., Erdogmus, D., Principe, J.C., Niyog, P.: Feature selection in mlps and svms based on maximum output information. IEEE Trans. Neural Networks 15 (2000) 937-948
-
(2000)
IEEE Trans. Neural Networks
, vol.15
, pp. 937-948
-
-
Sindhwani, V.1
Rakshit, S.2
Deodhare, D.3
Erdogmus, D.4
Principe, J.C.5
Niyog, P.6
-
24
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
Moller, M.F.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 6 (1993) 525-533
-
(1993)
Neural Networks
, vol.6
, pp. 525-533
-
-
Moller, M.F.1
-
25
-
-
0028547556
-
Floating search methods in feature selection
-
Pudil, P., Novovicova, J., Kittler, J.: Floating search methods in feature selection. Pattern Recognit. Lett. 15 (1994) 1119-1125
-
(1994)
Pattern Recognit. Lett.
, vol.15
, pp. 1119-1125
-
-
Pudil, P.1
Novovicova, J.2
Kittler, J.3
|