-
1
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang G.-B., Zhu Q.-Y., Siew C.-K. Extreme learning machine: theory and applications. Neurocomputing 2006, 70:489-501.
-
(2006)
Neurocomputing
, vol.70
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
3
-
-
84859007933
-
Extreme learning machine for regression and multiclass classification
-
Huang G.-B., Zhou H., Ding X., Zhang R. Extreme learning machine for regression and multiclass classification. IEEE Trans. Syst. Man Cybern.: Part B 2012, 42(2):513-529.
-
(2012)
IEEE Trans. Syst. Man Cybern.: Part B
, vol.42
, Issue.2
, pp. 513-529
-
-
Huang, G.-B.1
Zhou, H.2
Ding, X.3
Zhang, R.4
-
4
-
-
80051593049
-
Upper integral network with extreme learning mechanism
-
Wang X., Chen A., Feng H. Upper integral network with extreme learning mechanism. Neurocomputing 2011, 74(16):2520-2525.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2520-2525
-
-
Wang, X.1
Chen, A.2
Feng, H.3
-
6
-
-
39449107168
-
Prediction of melting points of organic compounds using extreme learning machines
-
Bhat A.U., Merchant S.S., Bhagwat S.S. Prediction of melting points of organic compounds using extreme learning machines. Ind. Eng. Chem. Res. 2008, 47:920-925.
-
(2008)
Ind. Eng. Chem. Res.
, vol.47
, pp. 920-925
-
-
Bhat, A.U.1
Merchant, S.S.2
Bhagwat, S.S.3
-
7
-
-
56049098499
-
Sales forecasting using extreme learning machine with applications in fashion retailing
-
Sun Z.-L., Choi T.-M., Au K.-F., Yu Y. Sales forecasting using extreme learning machine with applications in fashion retailing. Decision Support Syst. 2008, 46(1):411-419.
-
(2008)
Decision Support Syst.
, vol.46
, Issue.1
, pp. 411-419
-
-
Sun, Z.-L.1
Choi, T.-M.2
Au, K.-F.3
Yu, Y.4
-
8
-
-
77955196107
-
-
Modeling permeability prediction using extreme learning machines, in: Proceedings of the 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, AMS '10, IEEE Computer Society, Washington, DC, USA
-
S.O. Olatunji, A. Selamat, A.A.A.R. Abdul, Modeling permeability prediction using extreme learning machines, in: Proceedings of the 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation, AMS '10, IEEE Computer Society, Washington, DC, USA, 2010, pp. 29-33.
-
(2010)
, pp. 29-33
-
-
Olatunji, S.O.1
Selamat, A.2
Abdul, A.A.A.R.3
-
10
-
-
84947338420
-
-
Wiley, Chichester, West Sussex, England
-
Maronna R., Martin R., Yohai V. Robust Statistics Theory and Methods 2006, Wiley, Chichester, West Sussex, England.
-
(2006)
Robust Statistics Theory and Methods
-
-
Maronna, R.1
Martin, R.2
Yohai, V.3
-
11
-
-
80051669013
-
A study on effectiveness of extreme learning machine
-
Wang Y., Cao F., Yuan Y. A study on effectiveness of extreme learning machine. Neurocomputing 2011, 74(16):2483-2490.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2483-2490
-
-
Wang, Y.1
Cao, F.2
Yuan, Y.3
-
12
-
-
80051592912
-
Optimization approximation solution for regression problem based on extreme learning machine
-
Yuan Y., Wang Y., Cao F. Optimization approximation solution for regression problem based on extreme learning machine. Neurocomputing 2011, 74(16):2475-2482.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2475-2482
-
-
Yuan, Y.1
Wang, Y.2
Cao, F.3
-
13
-
-
79955694599
-
Weighted least squares scheme for reducing effects of outliers in regression based on extreme learning machine
-
Huynh H.T., Won Y. Weighted least squares scheme for reducing effects of outliers in regression based on extreme learning machine. Int. J. Digital Content Technol. Appl. (JDCTA) 2008, 2(3):40-46.
-
(2008)
Int. J. Digital Content Technol. Appl. (JDCTA)
, vol.2
, Issue.3
, pp. 40-46
-
-
Huynh, H.T.1
Won, Y.2
-
14
-
-
67650463106
-
-
Regularized extreme learning machine, in: IEEE Symposium on Computational Intelligence and Data Mining, CIDM '09
-
W. Deng, Q. Zheng, L. Chen, Regularized extreme learning machine, in: IEEE Symposium on Computational Intelligence and Data Mining, CIDM '09, 2009, pp. 389-395.
-
(2009)
, pp. 389-395
-
-
Deng, W.1
Zheng, Q.2
Chen, L.3
-
15
-
-
33745918399
-
Universal approximation using incremental constructive feedforward networks with random hidden nodes
-
Huang G.-B., Chen L., Siew C.-K. Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans. Neural Networks 2006, 17(4):879-892.
-
(2006)
IEEE Trans. Neural Networks
, vol.17
, Issue.4
, pp. 879-892
-
-
Huang, G.-B.1
Chen, L.2
Siew, C.-K.3
-
16
-
-
56549090053
-
Enhanced random search based incremental extreme learning machine
-
Huang G.-B., Chen L. Enhanced random search based incremental extreme learning machine. Neurocomputing 2008, 71:3460-3468.
-
(2008)
Neurocomputing
, vol.71
, pp. 3460-3468
-
-
Huang, G.-B.1
Chen, L.2
-
17
-
-
78049530568
-
Partial Lanczos extreme learning machine for single-output regression problems
-
Tang X., Han M. Partial Lanczos extreme learning machine for single-output regression problems. Neurocomputing 2009, 72(13-15):3066-3076.
-
(2009)
Neurocomputing
, vol.72
, Issue.13-15
, pp. 3066-3076
-
-
Tang, X.1
Han, M.2
-
20
-
-
0027544506
-
Loading forecasting via suboptimal seasonal autoregressive models and iteratively reweighted least squares estimation
-
Mbamalu G.A.N., El-Hawary M.E. Loading forecasting via suboptimal seasonal autoregressive models and iteratively reweighted least squares estimation. IEEE Trans. Power Syst. 1993, 8(1):343-348.
-
(1993)
IEEE Trans. Power Syst.
, vol.8
, Issue.1
, pp. 343-348
-
-
Mbamalu, G.A.N.1
El-Hawary, M.E.2
-
22
-
-
33845186097
-
A note on computing robust regression estimates via iteratively reweighted least squares
-
Street J.O., Carroll R.J., Ruppert D. A note on computing robust regression estimates via iteratively reweighted least squares. Am. Stat. 1998, 42(2):152-154.
-
(1998)
Am. Stat.
, vol.42
, Issue.2
, pp. 152-154
-
-
Street, J.O.1
Carroll, R.J.2
Ruppert, D.3
-
23
-
-
77954208530
-
-
Springer-Verlag New York, Inc., New York
-
Dumouchel W., O'Brien F. Integrating a Robust Option into a Multiple Regression Computing Environment 1991, Springer-Verlag New York, Inc., New York, pp. 41-48.
-
(1991)
Integrating a Robust Option into a Multiple Regression Computing Environment
, pp. 41-48
-
-
Dumouchel, W.1
O'Brien, F.2
-
24
-
-
0031515615
-
Complete orthogonal decomposition for weighted least squares
-
Hough P.D., Vavasis S.A. Complete orthogonal decomposition for weighted least squares. SIAM J. Matrix Anal. Appl. 1997, 18:369-392.
-
(1997)
SIAM J. Matrix Anal. Appl.
, vol.18
, pp. 369-392
-
-
Hough, P.D.1
Vavasis, S.A.2
-
25
-
-
0032680362
-
A fast algorithm for the minimum covariance determinant estimator
-
Rousseeuw P.J., Driessen K.V. A fast algorithm for the minimum covariance determinant estimator. Technometrics 1999, 41:212-223.
-
(1999)
Technometrics
, vol.41
, pp. 212-223
-
-
Rousseeuw, P.J.1
Driessen, K.V.2
-
26
-
-
38349183884
-
The multivariate least-trimmed squares estimator
-
Agulló J., Croux C., Aelst S.V. The multivariate least-trimmed squares estimator. J. Multivariate Anal. 2008, 99(3):311-338.
-
(2008)
J. Multivariate Anal.
, vol.99
, Issue.3
, pp. 311-338
-
-
Agulló, J.1
Croux, C.2
Aelst, S.V.3
-
27
-
-
78049343675
-
-
Robust estimation of the vector autoregressive model by a least trimmed squares procedure, in: COMPSTAT 2008: Proceedings in Computational Statistics
-
C. Croux, K. Joossens, Robust estimation of the vector autoregressive model by a least trimmed squares procedure, in: COMPSTAT 2008: Proceedings in Computational Statistics, 2008, pp. 489-501.
-
(2008)
, pp. 489-501
-
-
Croux, C.1
Joossens, K.2
-
29
-
-
0011890371
-
-
Computation using the QR decomposition, Handbook of Statistics, Elsevier Science Publishers B.V., Amsterdam, The Netherlands, (Chapter 13).
-
C.R. Goodall, Computation using the QR decomposition, Handbook of Statistics, vol. 9, Elsevier Science Publishers B.V., Amsterdam, The Netherlands, 1993, pp. 467-508 (Chapter 13).
-
(1993)
, vol.9
, pp. 467-508
-
-
Goodall, C.R.1
-
30
-
-
84899018647
-
-
A formulation for minimax probability machine regression, in: Advances in Neural Information Processing Systems, MIT Press
-
T. Strohmann, G.Z. Grudic, A formulation for minimax probability machine regression, in: Advances in Neural Information Processing Systems, vol. 15, MIT Press, 2003, pp. 769-776.
-
(2003)
, vol.15
, pp. 769-776
-
-
Strohmann, T.1
Grudic, G.Z.2
-
31
-
-
84871499444
-
-
The Matrix Computation Toolbox, URL 〈〉.
-
N.J. Higham, The Matrix Computation Toolbox, URL 〈〉. http://www.ma.man.ac.uk/~higham/mctoolbox.
-
-
-
Higham, N.J.1
-
32
-
-
33744944329
-
Fast computation of Moore-Penrose inverse matrices
-
Courrieu P. Fast computation of Moore-Penrose inverse matrices. Neural Inf. Process.-Lett. Rev. 2005, 8(2):25-29.
-
(2005)
Neural Inf. Process.-Lett. Rev.
, vol.8
, Issue.2
, pp. 25-29
-
-
Courrieu, P.1
-
33
-
-
84871512263
-
-
UCI Machine Learning Repository, URL 〈〉.
-
A. Frank, A. Asuncion, UCI Machine Learning Repository, 2010. URL 〈〉. http://archive.ics.uci.edu/ml.
-
(2010)
-
-
Frank, A.1
Asuncion, A.2
-
34
-
-
38349019569
-
Robust linear model selection based on least angle regression
-
Khan J.A., Aelst S.V., Zamar R.H. Robust linear model selection based on least angle regression. J. Am. Stat. Assoc. 2007, 102:1289-1299.
-
(2007)
J. Am. Stat. Assoc.
, vol.102
, pp. 1289-1299
-
-
Khan, J.A.1
Aelst, S.V.2
Zamar, R.H.3
|