-
1
-
-
0034174396
-
Artificial neural networks in hydrology. II: Hydrologic applications
-
Rao Govindaraju, and ASCE Task Committee on Application of Artificial Neural Networks in Hydrology Artificial neural networks in hydrology. II: hydrologic applications J. Hydrol. Eng. 5 2 2000 124 137
-
(2000)
J. Hydrol. Eng.
, vol.5
, Issue.2
, pp. 124-137
-
-
Govindaraju, R.1
-
2
-
-
10944257448
-
Support vector machines approximation of flow and transport models in initial groundwater contamination network design
-
T. Asefa, and M.W. Kemblowski Support vector machines approximation of flow and transport models in initial groundwater contamination network design Eos. Trans. AGU. 83 47 Fall Meet. Suppl. 2002 Abstract H72D-0882
-
(2002)
Eos. Trans. AGU.
, vol.83
, Issue.47 FALL MEET. SUPPL.
-
-
Asefa, T.1
Kemblowski, M.W.2
-
3
-
-
10944274219
-
Support vectors-based groundwater head observation networks design
-
101029/2004WR003304
-
T. Asefa, M.W. Kemblowski, G. Urroz, M. McKee, and A. Khalil Support vectors-based groundwater head observation networks design Water Resour. Res. 40 2004 W11509 10.1029/2004WR003304
-
(2004)
Water Resour. Res.
, vol.40
, pp. 11509
-
-
Asefa, T.1
Kemblowski, M.W.2
Urroz, G.3
McKee, M.4
Khalil, A.5
-
4
-
-
31044440067
-
Developing a virtual watershed: Sevier River basin
-
D.F. Hayes M. McKee
-
B. Berger, R. Hansen, and I. Cowley Developing a virtual watershed: Sevier River basin D.F. Hayes M. McKee Decision Support Systems for Water Resources Management Proceedings of AWRA, Snowbird, Utah, USA 2001
-
(2001)
Decision Support Systems for Water Resources Management Proceedings of AWRA, Snowbird, Utah, USA
-
-
Berger, B.1
Hansen, R.2
Cowley, I.3
-
7
-
-
34249753618
-
Support vector networks
-
C. Cortes, and V. Vapnik Support vector networks Mach. Learn. 20 1995 273 297
-
(1995)
Mach. Learn.
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
9
-
-
0035398081
-
Model induction with support vector machines: Introduction and applications
-
B.Y. Dibike, S. Velickov, D. Solomatine, and M.B. Abbott Model induction with support vector machines: introduction and applications J. Comput. Civil Eng. 15 3 2001 208 216
-
(2001)
J. Comput. Civil Eng.
, vol.15
, Issue.3
, pp. 208-216
-
-
Dibike, B.Y.1
Velickov, S.2
Solomatine, D.3
Abbott, M.B.4
-
10
-
-
84899013173
-
Support vector regression machines
-
M. Mozer M. Jordan T. Petsche MIT Press Cambridge, MA
-
H. Drucker, C.J.C. Burges, L. Kaufman, A. Smola, and V. Vapnik Support vector regression machines M. Mozer M. Jordan T. Petsche Advances in Neural Information Processing Systems vol. 9 1997 MIT Press Cambridge, MA 155 161
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 155-161
-
-
Drucker, H.1
Burges, C.J.C.2
Kaufman, L.3
Smola, A.4
Vapnik, V.5
-
11
-
-
0000249788
-
An equivalence between sparse approximation and support vector machines
-
Girosi, F. (1998), An equivalence between sparse approximation and support vector machines, Neural Computation, 10(6):1455-1480.
-
(1998)
Neural Computation
, vol.10
, Issue.6
, pp. 1455-1480
-
-
Girosi, F.1
-
12
-
-
0005396750
-
Automatic capacity tuning of very large VC-dimension classifiers
-
S. José Hanson J.D. Cowan C. Lee Giles Morgan Kaufmann San Mateo, CA
-
I. Guyon, B. Boser, and V. Vapnik Automatic capacity tuning of very large VC-dimension classifiers S. José Hanson J.D. Cowan C. Lee Giles Advances in Neural Information Processing Systems vol. 5 1993 Morgan Kaufmann San Mateo, CA 147 155
-
(1993)
Advances in Neural Information Processing Systems
, vol.5
, pp. 147-155
-
-
Guyon, I.1
Boser, B.2
Vapnik, V.3
-
13
-
-
0031390898
-
Reduced space optimal analysis for historical datasets: 136 years of Atlantic sea surface temperatures
-
A. Kaplan, Y. Kushnir, M. Cane, and M. Blumenthal Reduced space optimal analysis for historical datasets: 136 years of Atlantic sea surface temperatures J. Geophys. Res. 102 1997 27835 27860
-
(1997)
J. Geophys. Res.
, vol.102
, pp. 27835-27860
-
-
Kaplan, A.1
Kushnir, Y.2
Cane, M.3
Blumenthal, M.4
-
14
-
-
0032529811
-
Analyses of global sea surface temperature 1856-1991
-
A. Kaplan, M. Cane, Y. Kushnir, A. Clement, M. Blumenthal, and B. Rajagopalan Analyses of global sea surface temperature 1856-1991 J. Geophys. Res. 103 1998 18567 18589
-
(1998)
J. Geophys. Res.
, vol.103
, pp. 18567-18589
-
-
Kaplan, A.1
Cane, M.2
Kushnir, Y.3
Clement, A.4
Blumenthal, M.5
Rajagopalan, B.6
-
16
-
-
31044447571
-
Flood stage forecasting with SVM
-
S.Y. Liong, and C. Sivapragasam Flood stage forecasting with SVM AWRA 38 1 2002 118 173
-
(2002)
AWRA
, vol.38
, Issue.1
, pp. 118-173
-
-
Liong, S.Y.1
Sivapragasam, C.2
-
17
-
-
0002941010
-
Support vector machines for dynamic reconstruction of a chaotic system
-
C.J.C. Burges A.J. Smola MIT Press Cambridge, MA
-
D. Mattera, and S. Haykin Support vector machines for dynamic reconstruction of a chaotic system C.J.C. Burges A.J. Smola Advances in Kernel Methods: Support Vector Learning 1999 MIT Press Cambridge, MA 211 242
-
(1999)
Advances in Kernel Methods: Support Vector Learning
, pp. 211-242
-
-
Mattera, D.1
Haykin, S.2
-
18
-
-
0030112417
-
Large scale atmospheric indices and the Great Salt Lake: Interannual and interdecadal variability
-
Y.-I. Moon, and U. Lall Large scale atmospheric indices and the Great Salt Lake: interannual and interdecadal variability ASCE J. Hydrol. Eng. 1 2 1996
-
(1996)
ASCE J. Hydrol. Eng.
, vol.1
, Issue.2
-
-
Moon, Y.-I.1
Lall, U.2
-
19
-
-
0002457362
-
Predicting time series with support vector machines
-
B. Schölkopf C.J.C. Burges A.J. Smola MIT Press Cambridge, MA
-
K.R. Müller, A. Smola, G. Rätsch, B. Schölkopf, J. Kohlmorgen, and V. Vapnik Predicting time series with support vector machines B. Schölkopf C.J.C. Burges A.J. Smola Advances in Kernel Methods: Support Vector Learning 1999 MIT Press Cambridge, MA 243 254
-
(1999)
Advances in Kernel Methods: Support Vector Learning
, pp. 243-254
-
-
Müller, K.R.1
Smola, A.2
Rätsch, G.3
Schölkopf, B.4
Kohlmorgen, J.5
Vapnik, V.6
-
20
-
-
0004296379
-
-
Royal Holloway Technical Report CSD-TR-98-03, published by Royal Holloway.
-
Saunders, C., Stitson M.O., Weston J., Bottou L., Scholkopf B., Smola A., 1998. Support Vector Machine Reference Manual. Royal Holloway Technical Report CSD-TR-98-03, published by Royal Holloway.
-
(1998)
Support Vector Machine Reference Manual
-
-
Saunders, C.1
Stitson, M.O.2
Weston, J.3
Bottou, L.4
Scholkopf, B.5
Smola, A.6
-
24
-
-
84887252594
-
Support vector method for function approximation, regression estimation, and signal processing
-
M. Mozer M. Jordan T. Petsche MIT Press Cambridge, MA
-
V. Vapnik, S. Golowich, and A. Smola Support vector method for function approximation, regression estimation, and signal processing M. Mozer M. Jordan T. Petsche Advances in Neural Information Processing Systems vol. 9 1997 MIT Press Cambridge, MA 281 287
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 281-287
-
-
Vapnik, V.1
Golowich, S.2
Smola, A.3
|