-
1
-
-
1942470793
-
-
New York, NY, USA: Springer-Verlag
-
R. Caruana, Multitask Learning. New York, NY, USA: Springer-Verlag, 1998.
-
(1998)
Multitask Learning
-
-
Caruana, R.1
-
2
-
-
58349104545
-
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions
-
Apr.
-
M. Castro-Neto, Y.-S. Jeong, M.-K. Jeong, and L. D. Han, "Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions," Expert Syst. Appl., vol. 36, no. 3, pp. 6164-6173, Apr. 2009.
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.3
, pp. 6164-6173
-
-
Castro-Neto, M.1
Jeong, Y.-S.2
Jeong, M.-K.3
Han, L.D.4
-
3
-
-
84861893114
-
Neural-network-based models for short-term traffic flow forecasting using a hybrid exponential smoothing and Levenberg-Marquardt algorithm
-
Jun.
-
K. Y. Chan, T. S. Dillon, J. Singh, and E. Chang, "Neural-network-based models for short-term traffic flow forecasting using a hybrid exponential smoothing and Levenberg-Marquardt algorithm," IEEE Trans. Intell. Transp. Syst., vol. 13, no. 2, pp. 644-654, Jun. 2012.
-
(2012)
IEEE Trans. Intell. Transp. Syst.
, vol.13
, Issue.2
, pp. 644-654
-
-
Chan, K.Y.1
Dillon, T.S.2
Singh, J.3
Chang, E.4
-
4
-
-
0037336276
-
Traffic prediction using multivariate nonparametric regression
-
Mar.
-
S. Clark, "Traffic prediction using multivariate nonparametric regression," J. Transp. Eng., vol. 129, no. 2, pp. 161-168, Mar. 2003.
-
(2003)
J. Transp. Eng.
, vol.129
, Issue.2
, pp. 161-168
-
-
Clark, S.1
-
5
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
R. Collobert and J. Weston, "A unified architecture for natural language processing: Deep neural networks with multitask learning," in Proc. 25th Int. Conf. Mach. Learn., 2008, pp. 160-167.
-
(2008)
Proc. 25th Int. Conf. Mach. Learn.
, pp. 160-167
-
-
Collobert, R.1
Weston, J.2
-
6
-
-
84877760312
-
Large scale distributed deep networks
-
J. Dean, G. S. Corrado, R. Monga, K. Chen, M. Devin, Q. V. Le, M.Z. Mao, M. A. Ranzato, A. Senior, P. Tucker, K. Yang, and A. Y. Ng, "Large scale distributed deep networks," in Proc. NIPS, 2012, pp. 1232-1240.
-
(2012)
Proc. NIPS
, pp. 1232-1240
-
-
Dean, J.1
Corrado, G.S.2
Monga, R.3
Chen, K.4
Devin, M.5
Le, Q.V.6
Mao, M.Z.7
Ranzato, M.A.8
Senior, A.9
Tucker, P.10
Yang, K.11
Ng, A.Y.12
-
7
-
-
84867614591
-
Scalable stacking and learning for building deep architectures
-
L. Deng, D. Yu, and J. Platt, "Scalable stacking and learning for building deep architectures," in Proc. IEEE ICASSP, 2012, pp. 2133-2136.
-
(2012)
Proc. IEEE ICASSP
, pp. 2133-2136
-
-
Deng, L.1
Yu, D.2
Platt, J.3
-
8
-
-
33847182046
-
Bayesian time-series model for short-term traffic flow forecasting
-
Mar.
-
B. Ghosh, B. Basu, and M. O'Mahony, "Bayesian time-series model for short-term traffic flow forecasting," J. Transp. Eng., vol. 133, no. 3, pp. 180-189, Mar. 2007.
-
(2007)
J. Transp. Eng.
, vol.133
, Issue.3
, pp. 180-189
-
-
Ghosh, B.1
Basu, B.2
O'mahony, M.3
-
9
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Aug.
-
G. E. Hinton, "Training products of experts by minimizing contrastive divergence," Neural Comput., vol. 14, no. 8, pp. 1771-1800, Aug. 2002.
-
(2002)
Neural Comput.
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
10
-
-
33745805403
-
A fast learning algorithm for deep belief nets
-
May
-
G. E. Hinton, S. Osindero, and Y.-W. Teh, "A fast learning algorithm for deep belief nets," Neural Comput., vol. 18, no. 7, pp. 1527-1554, May 2006.
-
(2006)
Neural Comput.
, vol.18
, Issue.7
, pp. 1527-1554
-
-
Hinton, G.E.1
Osindero, S.2
Teh, Y.-W.3
-
11
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
Jul.
-
G. E. Hinton and R. R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, vol. 313, no. 5786, pp. 504-507, Jul. 2006.
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.E.1
Salakhutdinov, R.R.2
-
13
-
-
84878919540
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. Hinton, "Imagenet classification with deep convolutional neural networks," in Proc. Adv. Neural Inf. Process. Syst., 2012, vol. 25, pp. 1106-1114.
-
(2012)
Proc. Adv. Neural Inf. Process. Syst.
, vol.25
, pp. 1106-1114
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.3
-
14
-
-
59449087310
-
Exploring strategies for training deep neural networks
-
Jan.
-
H. Larochelle, Y. Bengio, J. Louradour, and P. Lamblin, "Exploring strategies for training deep neural networks," J. Mach. Learn. Res., vol. 10, pp. 1-40, Jan. 2009.
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 1-40
-
-
Larochelle, H.1
Bengio, Y.2
Louradour, J.3
Lamblin, P.4
-
15
-
-
85161980001
-
Sparse deep belief net model for visual area v2
-
H. Lee, C. Ekanadham, and A. Ng, "Sparse deep belief net model for visual area v2," in Adv. Neural Inf. Process. Syst., 2008, vol. 20, pp. 873-880.
-
(2008)
Adv. Neural Inf. Process. Syst.
, vol.20
, pp. 873-880
-
-
Lee, H.1
Ekanadham, C.2
Ng, A.3
-
16
-
-
84907514351
-
-
Transportation Research Board, Washington DC, USA
-
Highway Capacity Manual, Transportation Research Board, Washington, DC, USA, 2000.
-
(2000)
-
-
Capacity Manual, H.1
-
17
-
-
78649297301
-
Deep belief networks for phone recognition
-
A.-R. Mohamed, G. Dahl, and G. Hinton, "Deep belief networks for phone recognition," in Proc. NIPSWorkshop Deep Learn. Speech Recog. Related Appl., 2009, pp. 1-9.
-
(2009)
Proc. NIPSWorkshop Deep Learn. Speech Recog. Related Appl.
, pp. 1-9
-
-
Mohamed, A.-R.1
Dahl, G.2
Hinton, G.3
-
18
-
-
0002324802
-
Short term traffic forecasting using time series methods
-
Jul.
-
C. K. Moorthy and B. G. Ratcliffe, "Short term traffic forecasting using time series methods," Transp. Planning Technol., vol. 12, no. 1, pp. 45-56, Jul. 1988.
-
(1988)
Transp. Planning Technol.
, vol.12
, Issue.1
, pp. 45-56
-
-
Moorthy, C.K.1
Ratcliffe, B.G.2
-
19
-
-
84870564831
-
Real-time video-based traffic measurement and visualization system for energy/emissions
-
Dec.
-
B. T. Morris, C. Tran, G. Scora, M. M. Trivedi, and M. J. Barth, "Real-time video-based traffic measurement and visualization system for energy/emissions," IEEE Trans. Intell. Transp. Syst., vol. 13, no. 4, pp. 1667-1678, Dec. 2012.
-
(2012)
IEEE Trans. Intell. Transp. Syst.
, vol.13
, Issue.4
, pp. 1667-1678
-
-
Morris, B.T.1
Tran, C.2
Scora, G.3
Trivedi, M.M.4
Barth, M.J.5
-
20
-
-
80053437179
-
Multimodal deep learning
-
J. Ngiam, A. Khosla, M. Kim, J. Nam, H. Lee, and A. Ng, "Multimodal deep learning," in Proc. 28th ICML, 2011, pp. 689-696.
-
(2011)
Proc. 28th ICML
, pp. 689-696
-
-
Ngiam, J.1
Khosla, A.2
Kim, M.3
Nam, J.4
Lee, H.5
Ng, A.6
-
21
-
-
84883802662
-
Shortterm traffic state prediction based on temporal-spatial correlation
-
Sep.
-
T. L. Pan, A. Sumalee, R. X. Zhong, and N. Indra-Payoong, "Shortterm traffic state prediction based on temporal-spatial correlation," IEEE Trans. Intell. Transp. Syst., vol. 14, no. 3, pp. 1242-1254, Sep. 2013.
-
(2013)
IEEE Trans. Intell. Transp. Syst.
, vol.14
, Issue.3
, pp. 1242-1254
-
-
Pan, T.L.1
Sumalee, A.2
Zhong, R.X.3
Indra-Payoong, N.4
-
22
-
-
85162037149
-
Using deep belief nets to learn covariance kernels for Gaussian processes
-
R. Salakhutdinov and G. Hinton, "Using deep belief nets to learn covariance kernels for Gaussian processes," in Proc. Adv. Neural Inf. Process. Syst., 2008, vol. 20, pp. 1249-1256.
-
(2008)
Proc. Adv. Neural Inf. Process. Syst.
, vol.20
, pp. 1249-1256
-
-
Salakhutdinov, R.1
Hinton, G.2
-
23
-
-
77950550376
-
An online approach based on locally weighted learning for short-term traffic flow prediction
-
M. Shuai, K. Xie,W. Pu, G. Song, and X. Ma, "An online approach based on locally weighted learning for short-term traffic flow prediction," in Proc. 16th ACM SIGSPATIAL Int. Conf. Adv. Geogr. Inf. Syst., 2008, p. 45.
-
(2008)
Proc. 16th ACM SIGSPATIAL Int. Conf. Adv. Geogr. Inf. Syst.
, pp. 45
-
-
Shuai, M.1
Xiew. Pu, K.2
Song, G.3
Ma, X.4
-
24
-
-
0001891123
-
Short-term traffic flow prediction: Neural network approach
-
B. L. Smith and M. J. Demetsky, "Short-term traffic flow prediction: Neural network approach," Transp. Res. Rec., vol. 1453, pp. 98-104, 1994.
-
(1994)
Transp. Res. Rec.
, vol.1453
, pp. 98-104
-
-
Smith, B.L.1
Demetsky, M.J.2
-
25
-
-
67650691083
-
Traffic flow forecasting based on multitask ensemble learning
-
S. Sun, "Traffic flow forecasting based on multitask ensemble learning," in Proc. 1st ACM/SIGEVO Summit Genetic Evol. Comput., 2009, pp. 961-964.
-
(2009)
Proc. 1st ACM/SIGEVO Summit Genetic Evol. Comput.
, pp. 961-964
-
-
Sun, S.1
-
26
-
-
79958135902
-
Variational inference for infinite mixtures of Gaussian processes with applications to traffic flow prediction
-
Jun.
-
S. Sun and X. Xu, "Variational inference for infinite mixtures of Gaussian processes with applications to traffic flow prediction," IEEE Trans. Intell. Transp. Syst., vol. 12, no. 2, pp. 466-475, Jun. 2011.
-
(2011)
IEEE Trans. Intell. Transp. Syst.
, vol.12
, Issue.2
, pp. 466-475
-
-
Sun, S.1
Xu, X.2
-
27
-
-
34249888176
-
The selective random subspace predictor for traffic flow forecasting
-
Jun.
-
S. Sun and C. Zhang, "The selective random subspace predictor for traffic flow forecasting," IEEE Trans. Intell. Transp. Syst., vol. 8, no. 2, pp. 367-373, Jun. 2007.
-
(2007)
IEEE Trans. Intell. Transp. Syst.
, vol.8
, Issue.2
, pp. 367-373
-
-
Sun, S.1
Zhang, C.2
-
28
-
-
33644989492
-
A Bayesian network approach to traffic flow forecasting
-
Mar.
-
S. Sun, C. Zhang, and G. Yu, "A Bayesian network approach to traffic flow forecasting," IEEE Trans. Intell. Transp. Syst., vol. 7, no. 1, pp. 124-132, Mar. 2006.
-
(2006)
IEEE Trans. Intell. Transp. Syst.
, vol.7
, Issue.1
, pp. 124-132
-
-
Sun, S.1
Zhang, C.2
Yu, G.3
-
29
-
-
61849156325
-
An aggregation approach to short-term traffic flow prediction
-
Mar.
-
M.-C. Tan, S. C. Wong, J.-M. Xu, Z.-R. Guan, and P. Zhang, "An aggregation approach to short-term traffic flow prediction," IEEE Trans. Intell. Transp. Syst., vol. 10, no. 1, pp. 60-69, Mar. 2009.
-
(2009)
IEEE Trans. Intell. Transp. Syst.
, vol.10
, Issue.1
, pp. 60-69
-
-
Tan, M.-C.1
Wong, S.C.2
Xu, J.-M.3
Guan, Z.-R.4
Zhang, P.5
-
30
-
-
84899005618
-
Rate-coded restricted Boltzmann machines for face recognition
-
Y. W. Teh and G. E. Hinton, "Rate-coded restricted Boltzmann machines for face recognition," in Proc. Adv. Neural Inf. Process. Syst., 2001, pp. 908-914.
-
(2001)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 908-914
-
-
Teh, Y.W.1
Hinton, G.E.2
-
31
-
-
77649270832
-
Predictions of urban volumes in single time series
-
Mar.
-
T. Thomas, W. Weijermars, and E. Van Berkum, "Predictions of urban volumes in single time series," IEEE Trans. Intell. Transp. Syst., vol. 11, no. 1, pp. 71-80, Mar. 2010.
-
(2010)
IEEE Trans. Intell. Transp. Syst.
, vol.11
, Issue.1
, pp. 71-80
-
-
Thomas, T.1
Weijermars, W.2
Van Berkum, E.3
-
32
-
-
0030298951
-
Combining Kohonen maps with ARIMA time series models to forecast traffic flow
-
Oct.
-
M. Van Der Voort, M. Dougherty, and S. Watson, "Combining Kohonen maps with ARIMA time series models to forecast traffic flow," Transp. Res. C., Emerging Technol., vol. 4, no. 5, pp. 307-318, Oct. 1996.
-
(1996)
Transp. Res. C., Emerging Technol.
, vol.4
, Issue.5
, pp. 307-318
-
-
Voort Der M.Van1
Dougherty, M.2
Watson, S.3
-
33
-
-
77956338565
-
Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications
-
Sep.
-
F.-Y. Wang, "Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications," IEEE Trans. Intell. Transp. Syst., vol. 11, no. 3, pp. 630-638, Sep. 2010.
-
(2010)
IEEE Trans. Intell. Transp. Syst.
, vol.11
, Issue.3
, pp. 630-638
-
-
Wang, F.-Y.1
-
34
-
-
84870549790
-
Short-term traffic speed forecasting based on data recorded at irregular intervals
-
Dec.
-
Q. Ye, W. Y. Szeto, and S. C. Wong, "Short-term traffic speed forecasting based on data recorded at irregular intervals," IEEE Trans. Intell. Transp. Syst., vol. 13, no. 4, pp. 1727-1737, Dec. 2012.
-
(2012)
IEEE Trans. Intell. Transp. Syst.
, vol.13
, Issue.4
, pp. 1727-1737
-
-
Ye, Q.1
Szeto, W.Y.2
Wong, S.C.3
-
35
-
-
84908258002
-
Short-term traffic flow forecasting based on Markov chain model
-
G. Yu, J. Hu, C. Zhang, L. Zhuang, and J. Song, "Short-term traffic flow forecasting based on Markov chain model," in Proc. IEEE Intell. Veh. Symp., 2003, pp. 208-212.
-
(2003)
Proc. IEEE Intell. Veh. Symp.
, pp. 208-212
-
-
Yu, G.1
Hu, J.2
Zhang, C.3
Zhuang, L.4
Song, J.5
-
36
-
-
82455210975
-
Datadriven intelligent transportation systems: A survey
-
Dec.
-
J. Zhang, F.-Y. Wang, K. Wang, W.-H. Lin, X. Xu, and C. Chen, "Datadriven intelligent transportation systems: A survey," IEEE Trans. Intell. Transp. Syst., vol. 12, no. 4, pp. 1624-1639, Dec. 2011.
-
(2011)
IEEE Trans. Intell. Transp. Syst.
, vol.12
, Issue.4
, pp. 1624-1639
-
-
Zhang, J.1
Wang, F.-Y.2
Wang, K.3
Lin, W.-H.4
Xu, X.5
Chen, C.6
-
37
-
-
31044437283
-
Short-term freeway traffic flow prediction: Bayesian combined neural network approach
-
W. Zheng, D.-H. Lee, and Q. Shi, "Short-term freeway traffic flow prediction: Bayesian combined neural network approach," J. Transp. Eng., vol. 132, no. 2, pp. 114-121, 2006.
-
(2006)
J. Transp. Eng.
, vol.132
, Issue.2
, pp. 114-121
-
-
Zheng, W.1
Lee, D.-H.2
Shi, Q.3
|