-
2
-
-
6144251472
-
Wall control blasting in open pits
-
14th Canadian rock mechanics symposium
-
Bauer A. Wall control blasting in open pits. CIM Special Vol. 30, Canadian Institute of Mining and Metallurgy, 14th Canadian rock mechanics symposium; 1982, p. 3-10.
-
(1982)
CIM Special Canadian Institute of Mining and Metallurgy
, vol.30
, pp. 3-10
-
-
Bauer, A.1
-
4
-
-
0019607654
-
Adjusting blast design for best results
-
Rotterdam: Balkema
-
Jenkins SS. Adjusting blast design for best results. In: Pit and quarry. Rotterdam: Balkema; 1981.
-
(1981)
Pit and quarry
-
-
Jenkins, S.S.1
-
5
-
-
55749100108
-
Evaluation of effect of blasting pattern parameters on back break using neural networks
-
Monjezi M, Dehghani H Evaluation of effect of blasting pattern parameters on back break using neural networks. Int J Rock Mech Min Sci 2008, 45:1446-1453.
-
(2008)
Int J Rock Mech Min Sci
, vol.45
, pp. 1446-1453
-
-
Monjezi, M.1
Dehghani, H.2
-
7
-
-
0003798627
-
-
MIT Press, Cambridge, MA
-
Stitson M, Gammerman A, Vapnik V, Vovk V, Watkins C, Weston J Advances in kernel methods-support vector learning 1999, MIT Press, Cambridge, MA, p. 285-92.
-
(1999)
Advances in kernel methods-support vector learning
, pp. 285-292
-
-
Stitson, M.1
Gammerman, A.2
Vapnik, V.3
Vovk, V.4
Watkins, C.5
Weston, J.6
-
9
-
-
60249084777
-
Generalization performance of support vector machines and neural networks in run off modeling
-
Behzad M, Asghari K, Morteza E, Palhang M Generalization performance of support vector machines and neural networks in run off modeling. Expert Syst Appl 2009, 36:7624-7629.
-
(2009)
Expert Syst Appl
, vol.36
, pp. 7624-7629
-
-
Behzad, M.1
Asghari, K.2
Morteza, E.3
Palhang, M.4
-
15
-
-
69249224903
-
-
Mathematical Association of America, Washington, DC
-
Bennett KP, Bredensteiner EJ Geometry in learning, geometry at work 1998, Mathematical Association of America, Washington, DC.
-
(1998)
Geometry in learning, geometry at work
-
-
Bennett, K.P.1
Bredensteiner, E.J.2
-
16
-
-
0031375732
-
Nonlinear prediction of chaotic time series using a support vector machine
-
Amelia Island, Florida
-
Mukherjee S, Osuna E, Girosi F. Nonlinear prediction of chaotic time series using a support vector machine. In: Proceedings of the 1997 IEEE workshop, Amelia Island, Florida; 1997. p. 511-20.
-
(1997)
Proceedings of the 1997 IEEE workshop
, pp. 511-520
-
-
Mukherjee, S.1
Osuna, E.2
Girosi, F.3
-
17
-
-
0041589566
-
Support vector interval regression networks for interval regression analysis
-
Jeng JT, Chuang CC, Su SF Support vector interval regression networks for interval regression analysis. Fuzzy Sets Syst 2003, 138(2):283-300.
-
(2003)
Fuzzy Sets Syst
, vol.138
, Issue.2
, pp. 283-300
-
-
Jeng, J.T.1
Chuang, C.C.2
Su, S.F.3
-
18
-
-
33846420617
-
An application of one-class support vector machines in content based image retrieval
-
Seo KK An application of one-class support vector machines in content based image retrieval. Expert Syst Appl 2007, 33(2):491-498.
-
(2007)
Expert Syst Appl
, vol.33
, Issue.2
, pp. 491-498
-
-
Seo, K.K.1
-
19
-
-
35548982127
-
Support vector regression model for the estimation of c-ray buildup factors for multi-layer shields
-
Trontl K, Smuc T, Pevec D Support vector regression model for the estimation of c-ray buildup factors for multi-layer shields. Ann Nucl Energy 2007, 34(12):939-952.
-
(2007)
Ann Nucl Energy
, vol.34
, Issue.12
, pp. 939-952
-
-
Trontl, K.1
Smuc, T.2
Pevec, D.3
-
20
-
-
44949237228
-
Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
-
Widodo A, Yang BS Wavelet support vector machine for induction machine fault diagnosis based on transient current signal. Expert Syst Appl 2008, 35(1-2):307-316.
-
(2008)
Expert Syst Appl
, vol.35
, Issue.1-2
, pp. 307-316
-
-
Widodo, A.1
Yang, B.S.2
-
21
-
-
34548510616
-
Mapping specific habitats from remotely sensed imagery: support vector machine and support vector data description based classification of coastal saltmarsh habitats
-
Sanchez-Hernandez C, Boyd DS, Foody GM Mapping specific habitats from remotely sensed imagery: support vector machine and support vector data description based classification of coastal saltmarsh habitats. Ecol Inf 2002, 2:83-88.
-
(2002)
Ecol Inf
, vol.2
, pp. 83-88
-
-
Sanchez-Hernandez, C.1
Boyd, D.S.2
Foody, G.M.3
-
22
-
-
0036825901
-
Modified support vector machines in financial time series forecasting
-
Francis EH, Tay LJ Modified support vector machines in financial time series forecasting. Neurocomputing 2002, 48:847-861.
-
(2002)
Neurocomputing
, vol.48
, pp. 847-861
-
-
Francis, E.H.1
Tay, L.J.2
-
24
-
-
77952551089
-
Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system
-
Khademi Hamidi J, Shahriar K, Rezai B, Rostami J Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system. Tunnell Undergr Space Technol 2010, 25:333-345.
-
(2010)
Tunnell Undergr Space Technol
, vol.25
, pp. 333-345
-
-
Khademi Hamidi, J.1
Shahriar, K.2
Rezai, B.3
Rostami, J.4
-
25
-
-
17644437641
-
Advanced support vector machines and kernel methods
-
Sanchez DV Advanced support vector machines and kernel methods. Neurocomputing 2003, 55:5-20.
-
(2003)
Neurocomputing
, vol.55
, pp. 5-20
-
-
Sanchez, D.V.1
-
26
-
-
17644423485
-
Efficient performance estimate for one-class support vector machine
-
Tran QA, Liu X, Duan H Efficient performance estimate for one-class support vector machine. Pattern Recognition Lett 2005, 26:1174-1182.
-
(2005)
Pattern Recognition Lett
, vol.26
, pp. 1174-1182
-
-
Tran, Q.A.1
Liu, X.2
Duan, H.3
-
27
-
-
33750523404
-
Adaptive simplification of solution for support vector machine
-
Li Q, Jiao L, Hao Y Adaptive simplification of solution for support vector machine. Pattern Recognition 2007, 40:972-980.
-
(2007)
Pattern Recognition
, vol.40
, pp. 972-980
-
-
Li, Q.1
Jiao, L.2
Hao, Y.3
-
28
-
-
57849101999
-
Using domain-specific knowledge in generalization error bounds for support vector machine learning
-
Eryarsoy E, Koehler GJ, Aytug H Using domain-specific knowledge in generalization error bounds for support vector machine learning. Decision Support Syst 2009, 46:481-491.
-
(2009)
Decision Support Syst
, vol.46
, pp. 481-491
-
-
Eryarsoy, E.1
Koehler, G.J.2
Aytug, H.3
-
29
-
-
67649213554
-
Optimal reduction of solutions for support vector machines
-
Lin HJ, Yeh JP Optimal reduction of solutions for support vector machines. Appl Math Comput 2009, 214:329-335.
-
(2009)
Appl Math Comput
, vol.214
, pp. 329-335
-
-
Lin, H.J.1
Yeh, J.P.2
-
30
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalues problem
-
Scholkopf B, Smola AJ, Muller KR Nonlinear component analysis as a kernel eigenvalues problem. Neural Comput 1998, 10:1299-1319.
-
(1998)
Neural Comput
, vol.10
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.J.2
Muller, K.R.3
-
31
-
-
0030607269
-
The radial basis functions-partial least squares approach as a flexible non-linear regression technique
-
Walczack B, Massart DL The radial basis functions-partial least squares approach as a flexible non-linear regression technique. Anal Chim Acta 1996, 331:177-185.
-
(1996)
Anal Chim Acta
, vol.331
, pp. 177-185
-
-
Walczack, B.1
Massart, D.L.2
-
32
-
-
0038259120
-
Kernel partial least squares regression in reproducing kernel Hilbert space
-
Rosipal R, Trejo LJ Kernel partial least squares regression in reproducing kernel Hilbert space. J Mach Learning Res 2004, 2:97-123.
-
(2004)
J Mach Learning Res
, vol.2
, pp. 97-123
-
-
Rosipal, R.1
Trejo, L.J.2
-
33
-
-
0033337021
-
Fisher discriminant analysis with kernels
-
Mika S, Ratsch G, Wetson J, Scholkopf B, Muller KR Fisher discriminant analysis with kernels. In: Proccedings of the NNSP'99, 1999, p. 41-8.
-
(1999)
Proccedings of the NNSP'99
, pp. 41-48
-
-
Mika, S.1
Ratsch, G.2
Wetson, J.3
Scholkopf, B.4
Muller, K.R.5
-
35
-
-
0003425664
-
-
Technical report. Image Speech and Intelligent Systems Research Group, University of Southampton, Southampton, UK
-
Gunn SR. Support vector machines for classification and regression. Technical report. Image Speech and Intelligent Systems Research Group, University of Southampton, Southampton, UK; 1997.
-
(1997)
Support vector machines for classification and regression
-
-
Gunn, S.R.1
-
36
-
-
24944559785
-
-
Nanyang Technological University, School of Electrical and Electronic Engineering
-
Wang L. Support vector machines: theory and applications. Nanyang Technological University, School of Electrical and Electronic Engineering; 2005.
-
(2005)
Support vector machines: theory and applications
-
-
Wang, L.1
-
37
-
-
0345688978
-
Determination of the spread parameter in the Gaussian kernel for classification and regression
-
Wang WJ, Xu ZB, Lu WZ, Zhang XY Determination of the spread parameter in the Gaussian kernel for classification and regression. Neurocomputing 2003, 55:643-663.
-
(2003)
Neurocomputing
, vol.55
, pp. 643-663
-
-
Wang, W.J.1
Xu, Z.B.2
Lu, W.Z.3
Zhang, X.Y.4
-
38
-
-
0035398081
-
Model induction with support vector machines: introduction and application
-
Dibike YB, Velickov S, Solomatine D, Abbott MB Model induction with support vector machines: introduction and application. J Comput Civ Eng 2001, 15(3):208-216.
-
(2001)
J Comput Civ Eng
, vol.15
, Issue.3
, pp. 208-216
-
-
Dibike, Y.B.1
Velickov, S.2
Solomatine, D.3
Abbott, M.B.4
-
39
-
-
33746914260
-
-
In: SY Liong, KK Phoon, V Babovic, (editors), Proceedings of the sixth international conference on hydroinformatics, Singapore
-
Han D, Cluckie I. Support vector machines identification for runoff modeling. In: SY Liong, KK Phoon, V Babovic, (editors), Proceedings of the sixth international conference on hydroinformatics, Singapore, 2004, p. 21-4.
-
(2004)
Support vector machines identification for runoff modeling
, pp. 21-24
-
-
Han, D.1
Cluckie, I.2
-
40
-
-
33745051604
-
The accurate QSPR models to predict the bioconcentration factors of nonionic organic compounds based on the heuristic method and support vector machine
-
Liu H, Yao X, Zhang R, Liu M, Hu Z, Fan B The accurate QSPR models to predict the bioconcentration factors of nonionic organic compounds based on the heuristic method and support vector machine. Chemosphere 2006, 63:722-733.
-
(2006)
Chemosphere
, vol.63
, pp. 722-733
-
-
Liu, H.1
Yao, X.2
Zhang, R.3
Liu, M.4
Hu, Z.5
Fan, B.6
|