-
1
-
-
0016029778
-
The relationship between variable selection and dat augumentation and a method for prediction
-
D.M. Allen, "The relationship between variable selection and dat augumentation and a method for prediction", Technometrics, 16, pp. 125-127, 1974.
-
(1974)
Technometrics
, vol.16
, pp. 125-127
-
-
Allen, D.M.1
-
2
-
-
0032028728
-
The sample complexity of pattern classification with neural networks: The size of the weights is more important than the size of the network
-
P. L. Barlett, "The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network", IEEE Trans. Inform. Theory, 44, pp. 525-536, 1998.
-
(1998)
IEEE Trans. Inform. Theory
, vol.44
, pp. 525-536
-
-
Barlett, P.L.1
-
4
-
-
0024771664
-
Orthogonal least squares methods and their applications to non-linear system identification
-
S. Chen, S.A. Billings and W. Luo, "Orthogonal least squares methods and their applications to non-linear system identification", Int. J. Conm, 50, pp. 1873-1896, 1989.
-
(1989)
Int. J. Conm
, vol.50
, pp. 1873-1896
-
-
Chen, S.1
Billings, S.A.2
Luo, W.3
-
5
-
-
0035273106
-
Atomic decomposition by basis pursuit
-
S.S. Chen, D.L. Donoho and M.A. Saunders, "Atomic decomposition by basis pursuit", SIAM Rev., 43, pp. 129-159, 2001.
-
(2001)
SIAM Rev
, vol.43
, pp. 129-159
-
-
Chen, S.S.1
Donoho, D.L.2
Saunders, M.A.3
-
6
-
-
1842430977
-
Sparse modeling using orthogonal forward regression with PRESS statistic and regularisation
-
S. Chen, X. Hong, C.J. Harris and P.M. Sharkey, "Sparse modeling using orthogonal forward regression with PRESS statistic and regularisation", IEEE Trans. Syn., Man Cybernet., Part B: Cybernet., 34, pp. 898-911, 2004a.
-
(2004)
IEEE Trans. Syn., Man Cybernet., Part B: Cybernet
, vol.34
, pp. 898-911
-
-
Chen, S.1
Hong, X.2
Harris, C.J.3
Sharkey, P.M.4
-
7
-
-
33846063532
-
Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability
-
in press
-
S. Chen, X.X. Wang, X. Hong and C.J. Harris, "Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability", IEEE Trans. Neural Netw., in press (2006).
-
(2006)
IEEE Trans. Neural Netw
-
-
Chen, S.1
Wang, X.X.2
Hong, X.3
Harris, C.J.4
-
8
-
-
0032594851
-
Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks
-
S. Chen, Y. Wu and B.L. Luk, "Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks", IEEE Trans. Neural Netw., 10, pp. 1239-1243, 1999.
-
(1999)
IEEE Trans. Neural Netw
, vol.10
, pp. 1239-1243
-
-
Chen, S.1
Wu, Y.2
Luk, B.L.3
-
9
-
-
3242708140
-
Least angle regression
-
B. Efron, I. Johnstone, T. Hastie and R. Tibshirani, "Least angle regression", Ann. Stat., 32, pp. 407-451, 2004.
-
(2004)
Ann. Stat
, vol.32
, pp. 407-451
-
-
Efron, B.1
Johnstone, I.2
Hastie, T.3
Tibshirani, R.4
-
13
-
-
0041376987
-
A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition
-
Hong and C.J. Harris, "A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition", IEEE Trans. Fuzzy Sys., 11, pp. 528-541, 2003.
-
(2003)
IEEE Trans. Fuzzy Sys
, vol.11
, pp. 528-541
-
-
Hong1
Harris, C.J.2
-
14
-
-
0031222638
-
Givens rotation based fast backward elimination algorithm for RBF neural networks pruning
-
Hong, and S.A. Billings, "Givens rotation based fast backward elimination algorithm for RBF neural networks pruning", IEE Proc. - Contr. Theory Appl., 144, pp. 381-384, 1997.
-
(1997)
IEE Proc. - Contr. Theory Appl
, vol.144
, pp. 381-384
-
-
Hong1
Billings, S.A.2
-
15
-
-
33847065687
-
Backward elimination methods for associative memory network pruning
-
Hong, C.J. Harris, M. Brown and S. Chen, "Backward elimination methods for associative memory network pruning", Int. J. Hybrid Intellig. Sys., 1, pp. 90-98, 2004.
-
(2004)
Int. J. Hybrid Intellig. Sys
, vol.1
, pp. 90-98
-
-
Hong1
Harris, C.J.2
Brown, M.3
Chen, S.4
-
16
-
-
0037861058
-
Automatic nonlinear predictive model construction using forward regression and the PRESS statistic
-
Hong, P.M. Sharkey and K. Warwick, "Automatic nonlinear predictive model construction using forward regression and the PRESS statistic", IEE Proc. - Contr. Theory Appl., 150, pp. 245-254, 2003.
-
(2003)
IEE Proc. - Contr. Theory Appl
, vol.150
, pp. 245-254
-
-
Hong, P.M.S.1
Warwick, K.2
-
17
-
-
33847039786
-
A fast kernel classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate
-
submitted for publication
-
Hong, S. Chen and C.J. Harris, "A fast kernel classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate", Int. J. Sys. Sci., submitted for publication, 2005.
-
(2005)
Int. J. Sys. Sci
-
-
Hong, S.C.1
Harris, C.J.2
-
18
-
-
33847013546
-
-
Keerthi, S.S. http://guppy.mpe.nus.edu.sg/mpessk/sparselogreg.shtml, 2006.
-
(2006)
Keerthi, S.S
-
-
-
19
-
-
0036740269
-
RBF neural network center selection based on Fisher ratio class separability measure
-
K.Z. Mao, "RBF neural network center selection based on Fisher ratio class separability measure", IEEE Trans. Neural Netw., 13, pp. 1211-1217, 2002.
-
(2002)
IEEE Trans. Neural Netw
, vol.13
, pp. 1211-1217
-
-
Mao, K.Z.1
-
20
-
-
0035272287
-
An introduction to kernel based learning algorithms
-
K.R. Müller, S. Mika, G. Rätsch, K. Tsuda and B. Schölkopf, "An introduction to kernel based learning algorithms", IEEE Trans. Neural Netw., 12, pp. 181-201, 2001.
-
(2001)
IEEE Trans. Neural Netw
, vol.12
, pp. 181-201
-
-
Müller, K.R.1
Mika, S.2
Rätsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
22
-
-
0004059199
-
-
W.T. Miller, R.S. Button and P.J. Werbos Eds, Cambridge, MA: MIT Press
-
W.T. Miller, R.S. Button and P.J. Werbos (Eds) Neural Networks for Control, Cambridge, MA: MIT Press, 1990.
-
(1990)
Neural Networks for Control
-
-
-
24
-
-
0001132418
-
Regularisation in the selection of radial basis function centers
-
M.J.L. Orr, "Regularisation in the selection of radial basis function centers", Near. Comput., 7, pp. 954-975, 1995.
-
(1995)
Near. Comput
, vol.7
, pp. 954-975
-
-
Orr, M.J.L.1
-
25
-
-
33847068537
-
-
G. Ratsch, http://ida.first.fraunhofer.de/projects/bench/benchmarks.htm, 2006.
-
(2006)
-
-
Ratsch, G.1
-
26
-
-
0342502195
-
Soft margins for AdaBoost
-
G. Ratsch, T. Onoda and K.R. Müller, "Soft margins for AdaBoost", Mac. Learn., 42, pp. 287-320, 2001.
-
(2001)
Mac. Learn
, vol.42
, pp. 287-320
-
-
Ratsch, G.1
Onoda, T.2
Müller, K.R.3
-
27
-
-
0345327592
-
A simple and efficient algorithm for gencselection using sparse logistic regression
-
S.K. Shevade, and S.S. Keerthi, "A simple and efficient algorithm for gencselection using sparse logistic regression", Bioinformatics, 19, pp. 2246-2253, 2003.
-
(2003)
Bioinformatics
, vol.19
, pp. 2246-2253
-
-
Shevade, S.K.1
Keerthi, S.S.2
-
28
-
-
0000629975
-
Cross validatory choice and assessment of statistical predictions
-
Stone, "Cross validatory choice and assessment of statistical predictions", J. R. Stast. Soc., Ser. B, 36, pp. 117-147, 1974.
-
(1974)
J. R. Stast. Soc., Ser. B
, vol.36
, pp. 117-147
-
-
Stone1
-
29
-
-
0001287271
-
Regression shrinkage and selection via the LASSO
-
R. Tibshirani, "Regression shrinkage and selection via the LASSO", J. R. Stat. Soc. Ser. B, 58, pp. 267-288, 1996.
-
(1996)
J. R. Stat. Soc. Ser. B
, vol.58
, pp. 267-288
-
-
Tibshirani, R.1
-
30
-
-
0001224048
-
Sparse Bayesian learning and the relevance vector machine
-
M.E. Tipping, "Sparse Bayesian learning and the relevance vector machine", J. Mac. Learn. Res., 1, pp. 211-244, 2001.
-
(2001)
J. Mac. Learn. Res
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
32
-
-
0003466536
-
-
Philadelphia, PA: Society for Industrial and Applied Mathematics
-
G. Wahba, Spline Models for Observational Data, Philadelphia, PA: Society for Industrial and Applied Mathematics, 1990.
-
(1990)
Spline Models for Observational Data
-
-
Wahba, G.1
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