-
1
-
-
84900800509
-
Data-intensive applications, challenges, techniques and technologies: A survey on big data
-
Aug.
-
C. P. Chen and C.-Y. Zhang, "Data-intensive applications, challenges, techniques and technologies: A survey on big data," Inform. Sci., vol. 275, pp. 314-347, Aug. 2014.
-
(2014)
Inform. Sci.
, vol.275
, pp. 314-347
-
-
Chen, C.P.1
Zhang, C.-Y.2
-
2
-
-
84908019121
-
Big data opportunities and challenges: Discussions from data analytics perspectives
-
Nov.
-
Z.-H. Zhou, N. Chawla, Y. Jin, and G. Williams, "Big data opportunities and challenges: Discussions from data analytics perspectives," IEEE Comput. Intell. Mag., vol. 9, pp. 62-74, Nov. 2014.
-
(2014)
IEEE Comput. Intell. Mag.
, vol.9
, pp. 62-74
-
-
Zhou, Z.-H.1
Chawla, N.2
Jin, Y.3
Williams, G.4
-
3
-
-
84904651375
-
The emerging 'big dimensionality,'
-
Aug.
-
Y. Zhai, Y.-S. Ong, and I. Tsang, "The emerging 'big dimensionality,'" IEEE Comput. Intell. Mag., vol. 9, pp. 14-26, Aug. 2014.
-
(2014)
IEEE Comput. Intell. Mag.
, vol.9
, pp. 14-26
-
-
Zhai, Y.1
Ong, Y.-S.2
Tsang, I.3
-
4
-
-
84921341261
-
Bring your own learner: A cloud-based, data-parallel commons for machine learning
-
Feb.
-
I. Arnaldo, K. Veeramachaneni, A. Song, and U. O'Reilly, "Bring your own learner: A cloud-based, data-parallel commons for machine learning," IEEE Comput. Intell. Mag., vol. 10, pp. 20-32, Feb. 2015.
-
(2015)
IEEE Comput. Intell. Mag.
, vol.10
, pp. 20-32
-
-
Arnaldo, I.1
Veeramachaneni, K.2
Song, A.3
O'reilly, U.4
-
5
-
-
84904092315
-
Representational learning with extreme learning machine for big data
-
L. L. C. Kasun, H. Zhou, G.-B. Huang, and C. M. Vong, "Representational learning with extreme learning machine for big data," IEEE Intell. Syst., vol. 28, no. 6, pp. 31-34, 2013.
-
(2013)
IEEE Intell. Syst.
, vol.28
, Issue.6
, pp. 31-34
-
-
Kasun, L.L.C.1
Zhou, H.2
Huang, G.-B.3
Vong, C.M.4
-
6
-
-
0022471098
-
Learning representations by back-propagation errors
-
Oct.
-
D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning representations by back-propagation errors," Nature, vol. 323, pp. 533-536, Oct. 1986.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
7
-
-
10944272650
-
Extreme learning machine: A new learning scheme of feedforward neural networks
-
July
-
G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: A new learning scheme of feedforward neural networks," in Proc. Int. Joint Conf. Neural Networks, July 2004, vol. 2, pp. 985-990.
-
(2004)
Proc. Int. Joint Conf. Neural Networks
, vol.2
, pp. 985-990
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
8
-
-
33745903481
-
Extreme learning machine: Theory and applications
-
Dec.
-
G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, pp. 489-501, Dec. 2006.
-
(2006)
Neurocomputing
, vol.70
, pp. 489-501
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Siew, C.-K.3
-
9
-
-
33745918399
-
Universal approximation using incremental constructive feedforward networks with random hidden nodes
-
G.-B. Huang, L. Chen, and C.-K. Siew, "Universal approximation using incremental constructive feedforward networks with random hidden nodes," IEEE Trans. Neural Networks, vol. 17, no. 4, pp. 879-892, 2006.
-
(2006)
IEEE Trans. Neural Networks
, vol.17
, Issue.4
, pp. 879-892
-
-
Huang, G.-B.1
Chen, L.2
Siew, C.-K.3
-
10
-
-
34548158996
-
Convex incremental extreme learning machine
-
Oct.
-
G.-B. Huang and L. Chen, "Convex incremental extreme learning machine," Neurocomputing, vol. 70, pp. 3056-3062, Oct. 2007.
-
(2007)
Neurocomputing
, vol.70
, pp. 3056-3062
-
-
Huang, G.-B.1
Chen, L.2
-
11
-
-
56549090053
-
Enhanced random search based incremental extreme learning machine
-
Oct.
-
G.-B. Huang and L. Chen, "Enhanced random search based incremental extreme learning machine," Neurocomputing, vol. 71, pp. 3460-3468, Oct. 2008.
-
(2008)
Neurocomputing
, vol.71
, pp. 3460-3468
-
-
Huang, G.-B.1
Chen, L.2
-
12
-
-
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. B, vol. 42, no. 2, pp. 513-529, 2012.
-
(2012)
IEEE Trans. Syst. Man, Cybern. B
, vol.42
, Issue.2
, pp. 513-529
-
-
Huang, G.-B.1
Zhou, H.2
Ding, X.3
Zhang, R.4
-
13
-
-
84906948723
-
An insight into extreme learning machines: Random neurons, random features and kernels
-
G.-B. Huang, "An insight into extreme learning machines: Random neurons, random features and kernels," Cognitive Comput., vol. 6, no. 3, pp. 376-390, 2014.
-
(2014)
Cognitive Comput.
, vol.6
, Issue.3
, pp. 376-390
-
-
Huang, G.-B.1
-
14
-
-
84883162967
-
Prediction of proteinprotein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
-
Z.-H. You, Y.-K. Lei, L. Zhu, J. Xia, and B. Wang, "Prediction of proteinprotein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis," BMC Bioinform., vol. 14, suppl. 8, p. S10, 2013.
-
(2013)
BMC Bioinform.
, vol.14
, pp. S10
-
-
You, Z.-H.1
Lei, Y.-K.2
Zhu, L.3
Xia, J.4
Wang, B.5
-
15
-
-
84865313417
-
Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine
-
Y. Song, J. Crowcroft, and J. Zhang, "Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine," J. Neurosci. Methods, vol. 210, no. 2, pp. 132-146, 2012.
-
(2012)
J. Neurosci. Methods
, vol.210
, Issue.2
, pp. 132-146
-
-
Song, Y.1
Crowcroft, J.2
Zhang, J.3
-
16
-
-
80051683250
-
Optimization of nonlinear process based on sequential extreme learning machine
-
Y. Zhang and P. Zhang, "Optimization of nonlinear process based on sequential extreme learning machine," Chem. Eng. Sci., vol. 66, no. 20, pp. 4702-4710, 2011.
-
(2011)
Chem. Eng. Sci.
, vol.66
, Issue.20
, pp. 4702-4710
-
-
Zhang, Y.1
Zhang, P.2
-
17
-
-
84876924052
-
Bidirectional extreme learning machine for regression problem and its learning effectiveness
-
Y. Yang, Y. Wang, and X. Yuan, "Bidirectional extreme learning machine for regression problem and its learning effectiveness," IEEE Trans. Neural Networks Learning Syst., vol. 23, no. 9, pp. 1498-1505, 2012.
-
(2012)
IEEE Trans. Neural Networks Learning Syst.
, vol.23
, Issue.9
, pp. 1498-1505
-
-
Yang, Y.1
Wang, Y.2
Yuan, X.3
-
18
-
-
84897626373
-
Robust model predictive control of nonlinear systems with unmodeled dynamics and bounded uncertainties based on neural networks
-
Z. Yan and J. Wang, "Robust model predictive control of nonlinear systems with unmodeled dynamics and bounded uncertainties based on neural networks," IEEE Trans. Neural Networks Learning Syst., vol. 25, no. 3, pp. 457-469, 2014.
-
(2014)
IEEE Trans. Neural Networks Learning Syst.
, vol.25
, Issue.3
, pp. 457-469
-
-
Yan, Z.1
Wang, J.2
-
19
-
-
49249135950
-
Power utility nontechnical loss analysis with extreme learning machine method
-
A. Nizar, Z. Dong, and Y. Wang, "Power utility nontechnical loss analysis with extreme learning machine method," IEEE Trans. Power Syst., vol. 23, no. 3, pp. 946-955, 2008.
-
(2008)
IEEE Trans. Power Syst.
, vol.23
, Issue.3
, pp. 946-955
-
-
Nizar, A.1
Dong, Z.2
Wang, Y.3
-
20
-
-
84882574291
-
Incremental learning in human action recognition based on snippets
-
R. Minhas, A. A. Mohammed, and Q. M. J. Wu, "Incremental learning in human action recognition based on snippets," IEEE Trans. Circuits Syst. Video Technol., vol. 22, no. 11, pp. 1529-1541, 2012.
-
(2012)
IEEE Trans. Circuits Syst. Video Technol.
, vol.22
, Issue.11
, pp. 1529-1541
-
-
Minhas, R.1
Mohammed, A.A.2
Wu, Q.M.J.3
-
22
-
-
77953183471
-
What is the best multistage architecture for object recognition?
-
K. Jarrett, K. Kavukcuoglu, M. Ranzato, and Y. LeCun, "What is the best multistage architecture for object recognition?" in Proc. IEEE Int. Conf. Computer Vision, 2009, pp. 2146-2153.
-
(2009)
Proc. IEEE Int. Conf. Computer Vision
, pp. 2146-2153
-
-
Jarrett, K.1
Kavukcuoglu, K.2
Ranzato, M.3
Lecun, Y.4
-
23
-
-
84907219786
-
Sparse extreme learning machine for classification
-
Z. Bai, G.-B. Huang, D. Wang, H. Wang, and M. B. Westover, "Sparse extreme learning machine for classification," IEEE Trans. Cybern., vol. 44, no. 10, pp. 1858-1870, 2014.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.10
, pp. 1858-1870
-
-
Bai, Z.1
Huang, G.-B.2
Wang, D.3
Wang, H.4
Westover, M.B.5
-
24
-
-
0030737097
-
Face recognition: A convolutional neural-network approach
-
S. Lawrence, C. L. Giles, A. C. Tsoi, and A. D. Back, "Face recognition: A convolutional neural-network approach," IEEE Trans. Neural Networks, vol. 8, no. 1, pp. 98-113, 1997.
-
(1997)
IEEE Trans. Neural Networks
, vol.8
, Issue.1
, pp. 98-113
-
-
Lawrence, S.1
Giles, C.L.2
Tsoi, A.C.3
Back, A.D.4
-
26
-
-
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., vol. 61, no. 1, pp. 32-48, 2015.
-
(2015)
Neural Netw.
, vol.61
, Issue.1
, pp. 32-48
-
-
Huang, G.1
Huang, G.-B.2
Song, S.3
You, K.4
-
27
-
-
0028420218
-
Learning and generalization characteristics of the random vector functional-link net
-
Apr.
-
Y.-H. Pao, G.-H. Park, and D. J. Sobajic, "Learning and generalization characteristics of the random vector functional-link net," Neurocomputing, vol. 6, pp. 163-180, Apr. 1994.
-
(1994)
Neurocomputing
, vol.6
, pp. 163-180
-
-
Pao, Y.-H.1
Park, G.-H.2
Sobajic, D.J.3
-
28
-
-
0030242096
-
A rapid supervised learning neural network for function interpolation and approximation
-
C. P. Chen, "A rapid supervised learning neural network for function interpolation and approximation," IEEE Trans. Neural Networks, vol. 7, no. 5, pp. 1220-1230, 1996.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, Issue.5
, pp. 1220-1230
-
-
Chen, C.P.1
-
29
-
-
0031907489
-
An incremental adaptive implementation of functional-link processing for function approximation, time-series prediction, and system identification
-
C. Chen, S. R. LeClair, and Y.-H. Pao, "An incremental adaptive implementation of functional-link processing for function approximation, time-series prediction, and system identification," Neurocomputing, vol. 18, no. 1, pp. 11-31, 1998.
-
(1998)
Neurocomputing
, vol.18
, Issue.1
, pp. 11-31
-
-
Chen, C.1
Leclair, S.R.2
Pao, Y.-H.3
-
30
-
-
0033078284
-
A rapid learning and dynamic stepwise updating algorithm for f lat neural networks and the application to time-series prediction
-
C. P. Chen and J. Z. Wan, "A rapid learning and dynamic stepwise updating algorithm for f lat neural networks and the application to time-series prediction," IEEE Trans. Syst. Man, Cybern. B, vol. 29, no. 1, pp. 62-72, 1999.
-
(1999)
IEEE Trans. Syst. Man, Cybern. B
, vol.29
, Issue.1
, pp. 62-72
-
-
Chen, C.P.1
Wan, J.Z.2
-
32
-
-
0029403793
-
Stochastic choice of basis functions in adaptive function approximation and the functional-link net
-
B. Igelnik and Y.-H. Pao, "Stochastic choice of basis functions in adaptive function approximation and the functional-link net," IEEE Trans. Neural Networks, vol. 6, no. 6, pp. 1320-1329, 1995.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, Issue.6
, pp. 1320-1329
-
-
Igelnik, B.1
Pao, Y.-H.2
-
33
-
-
0024944645
-
An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks
-
H. White, "An additional hidden unit test for neglected nonlinearity in multilayer feedforward networks," in Proc. Int. Conf. Neural Networks, 1989, pp. 451-455.
-
(1989)
Proc. Int. Conf. Neural Networks
, pp. 451-455
-
-
White, H.1
-
34
-
-
43949168783
-
Testing for neglected nonlinearity in time series models: A comparison of neural network methods and standard tests
-
T.-H. Lee, H. White, and C. W. J. Granger, "Testing for neglected nonlinearity in time series models: A comparison of neural network methods and standard tests," J. Econometrics, vol. 56, pp. 269-290, 1993.
-
(1993)
J. Econometrics
, vol.56
, pp. 269-290
-
-
Lee, T.-H.1
White, H.2
Granger, C.W.J.3
-
35
-
-
0032343771
-
Consistent specification testing with nuisance parameters present only under the alternative
-
M. B. Stinchcombe and H. White, "Consistent specification testing with nuisance parameters present only under the alternative," Econometric Theory, vol. 14, no. 3, pp. 295-324, 1998.
-
(1998)
Econometric Theory
, vol.14
, Issue.3
, pp. 295-324
-
-
Stinchcombe, M.B.1
White, H.2
-
36
-
-
67649359701
-
Approximate nonlinear forecasting methods
-
G. Elliott, C. W. J. Granger, and A. Timmermann, Eds. New York: Elsevier
-
H. White, "Approximate nonlinear forecasting methods," in Handbook of Economics Forecasting, G. Elliott, C. W. J. Granger, and A. Timmermann, Eds. New York: Elsevier, 2006, pp. 460-512.
-
(2006)
Handbook of Economics Forecasting
, pp. 460-512
-
-
White, H.1
-
37
-
-
84911944987
-
Semi-supervised and unsupervised extreme learning machines
-
G. Huang, S. Song, J. N. Gupta, and C. Wu, "Semi-supervised and unsupervised extreme learning machines," IEEE Trans. Cybern., vol. 44, no. 12, pp. 2405-2417, 2014.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.12
, pp. 2405-2417
-
-
Huang, G.1
Song, S.2
Gupta, J.N.3
Wu, C.4
-
38
-
-
64549160240
-
Uniform approximation of functions with random bases
-
Sept.
-
A. Rahimi and B. Recht, "Uniform approximation of functions with random bases," in Proc. 46th Annu. Allerton Conf. Communication, Control, Computing, Sept. 2008, pp. 555-561.
-
(2008)
Proc. 46th Annu. Allerton Conf. Communication, Control, Computing
, pp. 555-561
-
-
Rahimi, A.1
Recht, B.2
-
39
-
-
33645007988
-
Can threshold networks be trained directly?
-
G.-B. Huang, Q.-Y. Zhu, K. Z. Mao, C.-K. Siew, P. Saratchandran, and N. Sundararajan, "Can threshold networks be trained directly?" IEEE Trans. Circuits Syst. II, vol. 53, no. 3, pp. 187-191, 2006.
-
(2006)
IEEE Trans. Circuits Syst. II
, vol.53
, Issue.3
, pp. 187-191
-
-
Huang, G.-B.1
Zhu, Q.-Y.2
Mao, K.Z.3
Siew, C.-K.4
Saratchandran, P.5
Sundararajan, N.6
-
40
-
-
85051374302
-
Feedforward neural networks with random weights
-
W. F. Schmidt, M. A. Kraaijveld, and R. P. Duin, "Feedforward neural networks with random weights," in Proc. 11th IAPR Int. Conf. Pattern Recognition Methodology Systems, 1992, pp. 1-4.
-
(1992)
Proc. 11th IAPR Int. Conf. Pattern Recognition Methodology Systems
, pp. 1-4
-
-
Schmidt, W.F.1
Kraaijveld, M.A.2
Duin, R.P.3
-
41
-
-
84870473129
-
The no-prop algorithm: A new learning algorithm for multilayer neural networks
-
Jan.
-
B. Widrow, A. Greenblatt, Y. Kim, and D. Park, "The no-prop algorithm: A new learning algorithm for multilayer neural networks," Neural Netw., vol. 37, pp. 182-188, Jan. 2013.
-
(2013)
Neural Netw.
, vol.37
, pp. 182-188
-
-
Widrow, B.1
Greenblatt, A.2
Kim, Y.3
Park, D.4
-
42
-
-
78649492473
-
Optimization method based extreme learning machine for classification
-
Dec.
-
G.-B. Huang, X. Ding, and H. Zhou, "Optimization method based extreme learning machine for classification," Neurocomputing, vol. 74, pp. 155-163, Dec. 2010.
-
(2010)
Neurocomputing
, vol.74
, pp. 155-163
-
-
Huang, G.-B.1
Ding, X.2
Zhou, H.3
-
44
-
-
84887012141
-
Using SVMs with randomised feature spaces: An extreme learning approach
-
Apr. 28-30
-
B. Frénay and M. Verleysen, "Using SVMs with randomised feature spaces: An extreme learning approach," in Proc. 18th European Symp. Artificial Neural Networks, Apr. 28-30, 2010, pp. 315-320.
-
(2010)
Proc. 18th European Symp. Artificial Neural Networks
, pp. 315-320
-
-
Frénay, B.1
Verleysen, M.2
-
45
-
-
34249753618
-
Support vector networks
-
C. Cortes and V. Vapnik, "Support vector networks," Mach. Learn., vol. 20, no. 3, pp. 273-297, 1995.
-
(1995)
Mach. Learn.
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
46
-
-
84928140071
-
-
"b," A.I. Memo No. 2001-011, CBCL Memo 198, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
-
T. Poggio, S. Mukherjee, R. Rifkin, A. Rakhlin, and A. Verri, "b," A.I. Memo No. 2001-011, CBCL Memo 198, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 2001.
-
(2001)
-
-
Poggio, T.1
Mukherjee, S.2
Rifkin, R.3
Rakhlin, A.4
Verri, A.5
-
47
-
-
79551679020
-
Training SVMs without offset
-
Feb.
-
I. Steinwart, D. Hush, and C. Scovel, "Training SVMs without offset," J. Machine Learning Res., vol. 12, pp. 141-202, Feb. 2011.
-
(2011)
J. Machine Learning Res.
, vol.12
, pp. 141-202
-
-
Steinwart, I.1
Hush, D.2
Scovel, C.3
-
48
-
-
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. Bartlett, "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, vol. 44, no. 2, pp. 525-536, 1998.
-
(1998)
IEEE Trans. Inform. Theory
, vol.44
, Issue.2
, pp. 525-536
-
-
Bartlett, P.L.1
-
49
-
-
0014266913
-
Receptive fields and functional architecture of monkey striate cortex
-
D. H. Hubel and T. N. Wiesel, "Receptive fields and functional architecture of monkey striate cortex," J. Physiol., vol. 195, no. 1, pp. 215-243, 1968.
-
(1968)
J. Physiol.
, vol.195
, Issue.1
, pp. 215-243
-
-
Hubel, D.H.1
Wiesel, T.N.2
-
50
-
-
78049408551
-
Evaluation of pooling operations in convolutional architectures for object recognition
-
D. Scherer, A. Müller, and S. Behnke, "Evaluation of pooling operations in convolutional architectures for object recognition," in Proc. Int. Conf. Artificial Neural Networks, 2010, pp. 92-101.
-
(2010)
Proc. Int. Conf. Artificial Neural Networks
, pp. 92-101
-
-
Scherer, D.1
Müller, A.2
Behnke, S.3
-
51
-
-
84880397408
-
Kernel-based extreme learning machine for remote-sensing image classification
-
M. Pal, A. E. Maxwell, and T. A. Warner, "Kernel-based extreme learning machine for remote-sensing image classification," Remote Sensing Lett., vol. 4, no. 9, pp. 853-862, 2013.
-
(2013)
Remote Sensing Lett.
, vol.4
, Issue.9
, pp. 853-862
-
-
Pal, M.1
Maxwell, A.E.2
Warner, T.A.3
-
52
-
-
84871651156
-
Reservoir computing and extreme learning machines for non-linear time-series data analysis
-
Feb.
-
J. Butcher, D. Verstraeten, B. Schrauwen, C. Day, and P. Haycock, "Reservoir computing and extreme learning machines for non-linear time-series data analysis," Neural Netw., vol. 38, pp. 76-89, Feb. 2013.
-
(2013)
Neural Netw.
, vol.38
, pp. 76-89
-
-
Butcher, J.1
Verstraeten, D.2
Schrauwen, B.3
Day, C.4
Haycock, P.5
-
53
-
-
84874022486
-
Text categorization based on regularization extreme learning machine
-
W. Zheng, Y. Qian, and H. Lu, "Text categorization based on regularization extreme learning machine," Neural Comput. Applicat., vol. 22, nos. 3-4, pp. 447-456, 2013.
-
(2013)
Neural Comput. Applicat.
, vol.22
, Issue.3-4
, pp. 447-456
-
-
Zheng, W.1
Qian, Y.2
Lu, H.3
-
54
-
-
0141680950
-
Efficacy of retinal spikes in driving cortical responses
-
P. Kara and R. C. Reid, "Efficacy of retinal spikes in driving cortical responses," J. Neurosci., vol. 23, no. 24, pp. 8547-8557, 2003.
-
(2003)
J. Neurosci.
, vol.23
, Issue.24
, pp. 8547-8557
-
-
Kara, P.1
Reid, R.C.2
-
55
-
-
79954619539
-
Distinct representations of olfactory information in different cortical centres
-
D. L. Sosulski, M. L. Bloom, T. Cutforth, R. Axel, and S. R. Datta, "Distinct representations of olfactory information in different cortical centres," Nature, vol. 472, no. 7342, pp. 213-216, 2011.
-
(2011)
Nature
, vol.472
, Issue.7342
, pp. 213-216
-
-
Sosulski, D.L.1
Bloom, M.L.2
Cutforth, T.3
Axel, R.4
Datta, S.R.5
-
56
-
-
84874626374
-
The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off
-
O. Barak, M. Rigotti, and S. Fusi, "The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off," J. Neurosci., vol. 33, no. 9, pp. 3844-3856, 2013.
-
(2013)
J. Neurosci.
, vol.33
, Issue.9
, pp. 3844-3856
-
-
Barak, O.1
Rigotti, M.2
Fusi, S.3
-
57
-
-
85161972005
-
Tiled convolutional neural networks
-
Q. V. Le, J. Ngiam, Z. Chen, D. Chia, P. W. Koh, and A. Y. Ng, "Tiled convolutional neural networks," in Proc. Advances Neural Information Processing Systems, 2010, pp. 1279-1287.
-
(2010)
Proc. Advances Neural Information Processing Systems
, pp. 1279-1287
-
-
Le, Q.V.1
Ngiam, J.2
Chen, Z.3
Chia, D.4
Koh, P.W.5
Ng, A.Y.6
-
58
-
-
80053448548
-
On random weights and unsupervised feature learning
-
A. Saxe, P. W. Koh, Z. Chen, M. Bhand, B. Suresh, and A. Y. Ng, "On random weights and unsupervised feature learning," in Proc. Int. Conf. Machine Learning, 2011, pp. 1089-1096.
-
(2011)
Proc. Int. Conf. Machine Learning
, pp. 1089-1096
-
-
Saxe, A.1
Koh, P.W.2
Chen, Z.3
Bhand, M.4
Suresh, B.5
Ng, A.Y.6
-
60
-
-
84862283411
-
An analysis of single-layer networks in unsupervised feature learning
-
A. Coates, A. Y. Ng, and H. Lee, "An analysis of single-layer networks in unsupervised feature learning," in Proc. Int. Conf. Artificial Intelligence Statistics, 2011, pp. 215-223.
-
(2011)
Proc. Int. Conf. Artificial Intelligence Statistics
, pp. 215-223
-
-
Coates, A.1
Ng, A.Y.2
Lee, H.3
-
61
-
-
84944477553
-
Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation
-
D. W. Marquaridt, "Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation," Technometrics, vol. 12, no. 3, pp. 591-612, 1970.
-
(1970)
Technometrics
, vol.12
, Issue.3
, pp. 591-612
-
-
Marquaridt, D.W.1
-
62
-
-
5044231640
-
Learning methods for generic object recognition with invariance to pose and lighting
-
July
-
Y. LeCun, F. J. Huang, and L. Bottou, "Learning methods for generic object recognition with invariance to pose and lighting," in Proc. Int. Conf. Computer Vision Pattern Recognition, July 2004, vol. 2, pp. II-97-104.
-
(2004)
Proc. Int. Conf. Computer Vision Pattern Recognition
, vol.2
, pp. II97-104
-
-
Lecun, Y.1
Huang, F.J.2
Bottou, L.3
-
64
-
-
69349090197
-
Learning deep architectures for AI
-
Y. Bengio, "Learning deep architectures for AI," Foundations Trends R Machine Learning, vol. 2, no. 1, pp. 1-127, 2009.
-
(2009)
Foundations Trends R Machine Learning
, vol.2
, Issue.1
, pp. 1-127
-
-
Bengio, Y.1
-
65
-
-
84864069017
-
Efficient learning of sparse representations with an energy-based model
-
M. A. Ranzato, C. Poultney, S. Chopra, and Y. LeCun, "Efficient learning of sparse representations with an energy-based model," in Proc. Advances Neural Information Processing Systems, 2006, pp. 1137-1144.
-
(2006)
Proc. Advances Neural Information Processing Systems
, pp. 1137-1144
-
-
Ranzato, M.A.1
Poultney, C.2
Chopra, S.3
Lecun, Y.4
-
66
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng, "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations," in Proc. Int. Conf. Machine Learning, 2009, pp. 609-616.
-
(2009)
Proc. Int. Conf. Machine Learning
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
|