-
1
-
-
34347245533
-
Localized generalization error and its application to architecture selection for radial basis function neural network
-
Yeung D.S., Ng W.W.Y., Wang D., Tsang E.C.C., and Wang X.-Z. Localized generalization error and its application to architecture selection for radial basis function neural network. IEEE Trans. Neural Networks (2007) 1294-1305
-
(2007)
IEEE Trans. Neural Networks
, pp. 1294-1305
-
-
Yeung, D.S.1
Ng, W.W.Y.2
Wang, D.3
Tsang, E.C.C.4
Wang, X.-Z.5
-
2
-
-
33749249058
-
Image classification with the use of radial basis function neural networks and the minimization of localized generalization error
-
Ng W.W.Y., Dorado A., Yeung D.S., Pedrycz W., and Izquierdo E. Image classification with the use of radial basis function neural networks and the minimization of localized generalization error. Pattern Recognition (2007) 19-32
-
(2007)
Pattern Recognition
, pp. 19-32
-
-
Ng, W.W.Y.1
Dorado, A.2
Yeung, D.S.3
Pedrycz, W.4
Izquierdo, E.5
-
3
-
-
0004063090
-
-
Prentice-Hall, Englewood Cliffs, NJ
-
Haykin S. Neural Networks (1998), Prentice-Hall, Englewood Cliffs, NJ
-
(1998)
Neural Networks
-
-
Haykin, S.1
-
4
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
Moody J., and Darken C.J. Fast learning in networks of locally-tuned processing units. Neural Comput. (1989) 281-294
-
(1989)
Neural Comput.
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
5
-
-
0031334221
-
Selection of relevant features and examples in machine learning
-
Blum L., and Langley P. Selection of relevant features and examples in machine learning. Artif. Intell. (1997) 245-271
-
(1997)
Artif. Intell.
, pp. 245-271
-
-
Blum, L.1
Langley, P.2
-
7
-
-
33745561205
-
An introduction to variable and feature selection
-
Guyon I., and Elisseeff A. An introduction to variable and feature selection. J. Mach. Learn. Res. (2003) 1157-1182
-
(2003)
J. Mach. Learn. Res.
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
8
-
-
0025405266
-
Decision trees and decision-making
-
Quinlan J.R. Decision trees and decision-making. IEEE Trans. SMC (1990) 339-346
-
(1990)
IEEE Trans. SMC
, pp. 339-346
-
-
Quinlan, J.R.1
-
10
-
-
10244259183
-
PCA-based feature selection scheme for machine defect classification
-
Malhi A., and Gao R.X. PCA-based feature selection scheme for machine defect classification. IEEE Trans. Instrum. Meas. (2004) 1517-1525
-
(2004)
IEEE Trans. Instrum. Meas.
, pp. 1517-1525
-
-
Malhi, A.1
Gao, R.X.2
-
11
-
-
0028468293
-
Using mutual information for selecting features in supervised neural net learning
-
Battiti R. Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Networks (1994) 537-550
-
(1994)
IEEE Trans. Neural Networks
, pp. 537-550
-
-
Battiti, R.1
-
12
-
-
24344458137
-
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
-
Peng H., Long F., and Ding C. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. PAMI (2005) 1226-1238
-
(2005)
IEEE Trans. PAMI
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
13
-
-
0036933407
-
Input feature selection by mutual information based on parzen window
-
Kwak N., and Choi C.-H. Input feature selection by mutual information based on parzen window. IEEE Trans. PAMI (2002) 1667-1671
-
(2002)
IEEE Trans. PAMI
, pp. 1667-1671
-
-
Kwak, N.1
Choi, C.-H.2
-
14
-
-
0036522403
-
Unsupervised feature selection using feature similarity
-
Mitra P., Murthy C.A., and Pal S.K. Unsupervised feature selection using feature similarity. IEEE Trans. PAMI (2002) 301-312
-
(2002)
IEEE Trans. PAMI
, pp. 301-312
-
-
Mitra, P.1
Murthy, C.A.2
Pal, S.K.3
-
15
-
-
0742307292
-
Orthogonal forward selection and backward elimination algorithms for feature subset selection
-
Mao K.Z. Orthogonal forward selection and backward elimination algorithms for feature subset selection. IEEE Trans. SMC (Part B) (2004) 629-634
-
(2004)
IEEE Trans. SMC (Part B)
, pp. 629-634
-
-
Mao, K.Z.1
-
16
-
-
0037983742
-
Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance
-
Fu X., and Wang L. Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance. IEEE Trans. SMC (Part B) (2003) 399-409
-
(2003)
IEEE Trans. SMC (Part B)
, pp. 399-409
-
-
Fu, X.1
Wang, L.2
-
17
-
-
1842587887
-
Relevant, irredundant feature selection and noisy example elimination
-
Lashkia G.V., and Anthony L. Relevant, irredundant feature selection and noisy example elimination. IEEE Trans. SMC (Part B) (2004) 888-897
-
(2004)
IEEE Trans. SMC (Part B)
, pp. 888-897
-
-
Lashkia, G.V.1
Anthony, L.2
-
18
-
-
0031381525
-
Wrappers for feature subset selection
-
Kohavi R., and John G.H. Wrappers for feature subset selection. Artif. Intell. (1997) 273-324
-
(1997)
Artif. Intell.
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
19
-
-
1542365112
-
Dimensionality reduction via sparse support vector machines
-
Bi J., Bennett K.P., Embrechts M., Breneman C.M., and Song M. Dimensionality reduction via sparse support vector machines. J. Mach. Learn. Res. (2003) 1229-1243
-
(2003)
J. Mach. Learn. Res.
, pp. 1229-1243
-
-
Bi, J.1
Bennett, K.P.2
Embrechts, M.3
Breneman, C.M.4
Song, M.5
-
21
-
-
49449109550
-
-
UCI Machine Learning Repository, 〈http://archive.ics.uci.edu/ml/〉.
-
UCI Machine Learning Repository, 〈http://archive.ics.uci.edu/ml/〉.
-
-
-
-
22
-
-
0035923521
-
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
-
Bhattacharjee A., Richards W.G., Staunton J., Li C., Monti S., Vasa P., Ladd C., Beheshti J., Bueno R., Gillette M., Loda M., Weber G., Mark E.J., Lander E.S., Wong W., Johnson B.E., Golub T.R., Sugarbaker D.J., and Meyerson M. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc. Natl. Acad. Sci. USA (2001) 13790-13795
-
(2001)
Proc. Natl. Acad. Sci. USA
, pp. 13790-13795
-
-
Bhattacharjee, A.1
Richards, W.G.2
Staunton, J.3
Li, C.4
Monti, S.5
Vasa, P.6
Ladd, C.7
Beheshti, J.8
Bueno, R.9
Gillette, M.10
Loda, M.11
Weber, G.12
Mark, E.J.13
Lander, E.S.14
Wong, W.15
Johnson, B.E.16
Golub, T.R.17
Sugarbaker, D.J.18
Meyerson, M.19
-
24
-
-
29244439291
-
Are unsolicited ratings lower? International evidence from bank ratings
-
Poon W., and Firth M. Are unsolicited ratings lower? International evidence from bank ratings. J. Bus. Finance Accounting (2005) 1741-1771
-
(2005)
J. Bus. Finance Accounting
, pp. 1741-1771
-
-
Poon, W.1
Firth, M.2
-
26
-
-
17444409968
-
Have financial statements become less informative? Evidence from the ability of financial ratios to predict bankruptcy
-
Beaver W.H., McNichols M.F., and Rhie J.W. Have financial statements become less informative? Evidence from the ability of financial ratios to predict bankruptcy. Rev. Accounting Stud. (2005) 93-122
-
(2005)
Rev. Accounting Stud.
, pp. 93-122
-
-
Beaver, W.H.1
McNichols, M.F.2
Rhie, J.W.3
-
29
-
-
46749111119
-
-
V. Agarwal, R. Taffler, Comparing the performance of market-based and accounting-based bankruptcy prediction models, J. Banking Finance, 2008, to appear.
-
V. Agarwal, R. Taffler, Comparing the performance of market-based and accounting-based bankruptcy prediction models, J. Banking Finance, 2008, to appear.
-
-
-
-
30
-
-
84898948710
-
Feature selection for SVMs
-
Weston J., Mukherjee S., Chapelle O., Pontil M., Poggio T., and Vapnik V. Feature selection for SVMs. Adv. Neural Inf. Process. Syst. (2001) 668-674
-
(2001)
Adv. Neural Inf. Process. Syst.
, pp. 668-674
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
-
31
-
-
0031272926
-
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
-
Scholkopf B., Sung K.K., Burges C.J.C., Girosi F., Niyogi P., Poggio T., and Vapnik V. Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Processing (1997) 2758-2765
-
(1997)
IEEE Trans. Signal Processing
, pp. 2758-2765
-
-
Scholkopf, B.1
Sung, K.K.2
Burges, C.J.C.3
Girosi, F.4
Niyogi, P.5
Poggio, T.6
Vapnik, V.7
-
32
-
-
33750991863
-
Localized generalization error of Gaussian based classifiers and visualization of decision boundaries
-
Ng W.W.Y., Yeung D.S., Wang D., Tsang E.C.C., and Wang X.-Z. Localized generalization error of Gaussian based classifiers and visualization of decision boundaries. Soft Comput. (2007) 375-381
-
(2007)
Soft Comput.
, pp. 375-381
-
-
Ng, W.W.Y.1
Yeung, D.S.2
Wang, D.3
Tsang, E.C.C.4
Wang, X.-Z.5
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