-
3
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demsar Statistical comparisons of classifiers over multiple data sets J. Mach. Learn. Res. 7 2006 1 30
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
4
-
-
84899013173
-
Support vector regression machines
-
H. Drucker, C.J. Burges, L. Kaufman, A. Smola, and V. Vapnik Support vector regression machines Adv. Neural Inf. Process. Syst. 9 1997 155 161
-
(1997)
Adv. Neural Inf. Process. Syst.
, vol.9
, pp. 155-161
-
-
Drucker, H.1
Burges, C.J.2
Kaufman, L.3
Smola, A.4
Vapnik, V.5
-
5
-
-
84943987463
-
Multiple comparisons among means
-
O.J. Dunn Multiple comparisons among means J. Am. Stat. Assoc. 56 293 1961 52 64
-
(1961)
J. Am. Stat. Assoc.
, vol.56
, Issue.293
, pp. 52-64
-
-
Dunn, O.J.1
-
6
-
-
0002313891
-
Multicollinearity in regression analysis: the problem revisited
-
D.E. Farrar, and R.R. Glauber Multicollinearity in regression analysis: the problem revisited Rev. Econ. Stat. 1967 92 107
-
(1967)
Rev. Econ. Stat.
, pp. 92-107
-
-
Farrar, D.E.1
Glauber, R.R.2
-
7
-
-
0040850554
-
Stability of the inverse correlation matrix. partial ridge regression
-
T. Foucart Stability of the inverse correlation matrix. partial ridge regression J. Stat. Plann. Inference 77 1 1999 141 154
-
(1999)
J. Stat. Plann. Inference
, vol.77
, Issue.1
, pp. 141-154
-
-
Foucart, T.1
-
8
-
-
0001837148
-
A comparison of alternative tests of significance for the problem of m rankings
-
M. Friedman A comparison of alternative tests of significance for the problem of m rankings Ann. Math. Stat. 11 1 1940 86 92
-
(1940)
Ann. Math. Stat.
, vol.11
, Issue.1
, pp. 86-92
-
-
Friedman, M.1
-
9
-
-
84890844620
-
Long-term time series prediction using op-elm
-
A. Grigorievskiy, Y. Miche, A.M. Ventel'á, E. Séverin, and A. Lendasse Long-term time series prediction using op-elm Neural Netw. 51 2014 50 56
-
(2014)
Neural Netw.
, vol.51
, pp. 50-56
-
-
Grigorievskiy, A.1
Miche, Y.2
Ventel'á, A.M.3
Séverin, E.4
Lendasse, A.5
-
10
-
-
84893654394
-
Toselm: timeliness online sequential extreme learning machine
-
Y. Gu, J. Liu, Y. Chen, X. Jiang, and H. Yu Toselm: timeliness online sequential extreme learning machine Neurocomputing 128 2014 119 127
-
(2014)
Neurocomputing
, vol.128
, pp. 119-127
-
-
Gu, Y.1
Liu, J.2
Chen, Y.3
Jiang, X.4
Yu, H.5
-
11
-
-
84893693421
-
An incremental extreme learning machine for online sequential learning problems
-
L. Guo, J.h. Hao, and M. Liu An incremental extreme learning machine for online sequential learning problems Neurocomputing 128 2014 50 58
-
(2014)
Neurocomputing
, vol.128
, pp. 50-58
-
-
Guo, L.1
Hao, J.H.2
Liu, M.3
-
13
-
-
84908682236
-
Trends in extreme learning machines: a review
-
G. Huang, G.B. Huang, S. Song, and K. You Trends in extreme learning machines: a review Neural Netw. 61 2015 32 48
-
(2015)
Neural Netw.
, vol.61
, pp. 32-48
-
-
Huang, G.1
Huang, G.B.2
Song, S.3
You, K.4
-
14
-
-
13844256702
-
A generalized growing and pruning rbf (ggap-rbf) neural network for function approximation
-
G.B. Huang, P. Saratchandran, and N. Sundararajan A generalized growing and pruning rbf (ggap-rbf) neural network for function approximation IEEE Trans. Neural Netw. 16 1 2005 57 67
-
(2005)
IEEE Trans. Neural Netw.
, vol.16
, Issue.1
, pp. 57-67
-
-
Huang, G.B.1
Saratchandran, P.2
Sundararajan, N.3
-
16
-
-
84859007933
-
Extreme learning machine for regression and multiclass classification
-
G.B. Huang, H. Zhou, X. Ding, and R. Zhang Extreme learning machine for regression and multiclass classification IEEE Trans. Syst., Man, Cybern., Part B: Cybern. 42 2 2012 513 529
-
(2012)
IEEE Trans. Syst., Man, Cybern., Part B: Cybern.
, vol.42
, Issue.2
, pp. 513-529
-
-
Huang, G.B.1
Zhou, H.2
Ding, X.3
Zhang, R.4
-
17
-
-
33745903481
-
Extreme learning machine: theory and applications
-
G.B. Huang, Q.Y. Zhu, and C.K. Siew Extreme learning machine: theory and applications Neurocomputing 70 1 2006 489 501
-
(2006)
Neurocomputing
, vol.70
, Issue.1
, pp. 489-501
-
-
Huang, G.B.1
Zhu, Q.Y.2
Siew, C.K.3
-
18
-
-
80052829448
-
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks
-
H.T. Huynh, and Y. Won Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks Pattern Recognit. Lett. 32 14 2011 1930 1935
-
(2011)
Pattern Recognit. Lett.
, vol.32
, Issue.14
, pp. 1930-1935
-
-
Huynh, H.T.1
Won, Y.2
-
19
-
-
0001553560
-
A function estimation approach to sequential learning with neural networks
-
V. Kadirkamanathan, and M. Niranjan A function estimation approach to sequential learning with neural networks Neural Comput. 5 6 1993 954 975
-
(1993)
Neural Comput.
, vol.5
, Issue.6
, pp. 954-975
-
-
Kadirkamanathan, V.1
Niranjan, M.2
-
20
-
-
84874022475
-
An enhanced extreme learning machine based on ridge regression for regression
-
G. Li, and P. Niu An enhanced extreme learning machine based on ridge regression for regression Neural Comput. Appl. 22 3-4 2013 803 810
-
(2013)
Neural Comput. Appl.
, vol.22
, Issue.3-4
, pp. 803-810
-
-
Li, G.1
Niu, P.2
-
21
-
-
34047174077
-
A fast and accurate online sequential learning algorithm for feedforward networks
-
N.Y. Liang, G.B. Huang, P. Saratchandran, and N. Sundararajan A fast and accurate online sequential learning algorithm for feedforward networks IEEE Trans. Neural Netw. 17 6 2006 1411 1423
-
(2006)
IEEE Trans. Neural Netw.
, vol.17
, Issue.6
, pp. 1411-1423
-
-
Liang, N.Y.1
Huang, G.B.2
Saratchandran, P.3
Sundararajan, N.4
-
22
-
-
84888290676
-
A hybrid approach combining extreme learning machine and sparse representation for image classification
-
M. Luo, and K. Zhang A hybrid approach combining extreme learning machine and sparse representation for image classification Eng. Appl. Artif. Intell. 27 2014 228 235
-
(2014)
Eng. Appl. Artif. Intell.
, vol.27
, pp. 228-235
-
-
Luo, M.1
Zhang, K.2
-
23
-
-
79956090028
-
Application of extreme learning machine for series compensated transmission line protection
-
V. Malathi, N. Marimuthu, S. Baskar, and K. Ramar Application of extreme learning machine for series compensated transmission line protection Eng. Appl. Artif. Intell. 24 5 2011 880 887
-
(2011)
Eng. Appl. Artif. Intell.
, vol.24
, Issue.5
, pp. 880-887
-
-
Malathi, V.1
Marimuthu, N.2
Baskar, S.3
Ramar, K.4
-
24
-
-
84897696475
-
Improving the statistical arbitrage strategy in intraday trading by combining extreme learning machine and support vector regression with linear regression models
-
IEEE, Washington, DC, USA
-
Nobrega, J.P., Oliveira, A.L.I., 2013. Improving the statistical arbitrage strategy in intraday trading by combining extreme learning machine and support vector regression with linear regression models. In: 2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI), IEEE, Washington, DC, USA, p. 182-188.
-
(2013)
2013 IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI)
, pp. 182-188
-
-
Nobrega, J.P.1
Oliveira, A.L.I.2
-
25
-
-
84938149965
-
A combination forecasting model using machine learning and kalman filter for statistical arbitrage
-
IEEE, San Diego, CA, USA
-
Nobrega, J.P., Oliveira, A.L.I., 2014. A combination forecasting model using machine learning and kalman filter for statistical arbitrage. In: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), IEEE, San Diego, CA, USA, p. 1294-1299.
-
(2014)
2014 IEEE International Conference on Systems, Man and Cybernetics (SMC)
, pp. 1294-1299
-
-
Nobrega, J.P.1
Oliveira, A.L.I.2
-
26
-
-
0001071040
-
A resource-allocating network for function interpolation
-
J. Platt A resource-allocating network for function interpolation Neural Comput. 3 2 1991 213 225
-
(1991)
Neural Comput.
, vol.3
, Issue.2
, pp. 213-225
-
-
Platt, J.1
-
28
-
-
0022471098
-
Learning representations by back-propagation errors
-
D. Ruhmelhart, G. Hinton, and R. Wiliams Learning representations by back-propagation errors Nature 323 1986 533 536
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Ruhmelhart, D.1
Hinton, G.2
Wiliams, R.3
-
29
-
-
27144463192
-
On comparing classifiers: pitfalls to avoid and a recommended approach
-
S.L. Salzberg On comparing classifiers: pitfalls to avoid and a recommended approach Data Min. Knowl. Discov. 1 3 1997 317 328
-
(1997)
Data Min. Knowl. Discov.
, vol.1
, Issue.3
, pp. 317-328
-
-
Salzberg, S.L.1
-
30
-
-
0002196917
-
Comparing individual means in the analysis of variance
-
J.W. Tukey Comparing individual means in the analysis of variance Biometrics 1949 99 114
-
(1949)
Biometrics
, pp. 99-114
-
-
Tukey, J.W.1
-
31
-
-
84923377302
-
Improved extreme learning machine for multivariate time series online sequential prediction
-
X. Wang, and M. Han Improved extreme learning machine for multivariate time series online sequential prediction Eng. Appl. Artif. Intell. 40 2015 28 36
-
(2015)
Eng. Appl. Artif. Intell.
, vol.40
, pp. 28-36
-
-
Wang, X.1
Han, M.2
-
32
-
-
0038432485
-
Kalman filtering as an alternative to ordinary least squaressome theoretical considerations and empirical results
-
P. Watson Kalman filtering as an alternative to ordinary least squaressome theoretical considerations and empirical results Empir. Econ. 8 2 1983 71 85
-
(1983)
Empir. Econ.
, vol.8
, Issue.2
, pp. 71-85
-
-
Watson, P.1
-
33
-
-
84878490532
-
Online sequential extreme learning machine in nonstationary environments
-
Y. Ye, S. Squartini, and F. Piazza Online sequential extreme learning machine in nonstationary environments Neurocomputing 116 2013 94 101
-
(2013)
Neurocomputing
, vol.116
, pp. 94-101
-
-
Ye, Y.1
Squartini, S.2
Piazza, F.3
-
34
-
-
0032022388
-
Performance evaluation of a sequential minimal radial basis function (rbf) neural network learning algorithm
-
L. Yingwei, N. Sundararajan, and P. Saratchandran Performance evaluation of a sequential minimal radial basis function (rbf) neural network learning algorithm IEEE Trans. Neural Netw. 9 2 1998 308 318
-
(1998)
IEEE Trans. Neural Netw.
, vol.9
, Issue.2
, pp. 308-318
-
-
Yingwei, L.1
Sundararajan, N.2
Saratchandran, P.3
-
35
-
-
84874018050
-
Estimation of effluent quality using pls-based extreme learning machines
-
L. Zhao, D. Wang, and T. Chai Estimation of effluent quality using pls-based extreme learning machines Neural Comput. Appl. 22 3-4 2013 509 519
-
(2013)
Neural Comput. Appl.
, vol.22
, Issue.3-4
, pp. 509-519
-
-
Zhao, L.1
Wang, D.2
Chai, T.3
|