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Finn, W.D.L. 2002. State of the art for the evaluation of seismic liquefaction poten-
tial.
Computers and Geotechnics
,
29
, 329-341.
Finn, W.D.L. and Fujita, N. 2002. Piles in liquefi able soils: seismic analysis and design
issues.
Soil Dynamics and Earthquake Engineering
,
22
(9-12), 731-742.
Freund, Y. and Schapire, R.E. 1996.
Experiments with a New Boosting Algorithm
.
Machine Learning, Proceedings of the Thirteenth International Conference
(ICML
196), Bari, Italy, July 3-6, 1996, Morgan Kaufman, pp. 148-156.
Friedman, N., Geiger, D. and Goldszmidt, M. 1997. Bayesian network classifi ers.
Machine Learning
,
29
, 131-163.
GEER, 2011.
Geotechnical Reconnaissance of the 2011 Christchurch (New Zealand)
Earthquake
. GEER Association Report. http://www.geerassociation.org/.
Gislason, P.O. Benediktsson, J.A. and Sveinsson, J.R. 2006. Random forests for land
cover classifi cation.
Pattern Recognition Letters
,
27
, 294-300.
Goh, A.T.C. 1994. Seismic liquefaction potential assessed by neural networks.
Journal of Geotechnical Engineering
,
120
(9), 1467-1480.
Goh, A.T.C. 1996. Neural-network modeling of CPT seismic liquefaction data.
ASCE Journal of Geotechnical Engineering
,
122
(1), 70-73.
Goh, A.T.C. 2002. Probabilistic neural network for evaluating seismic liquefaction
potential.
Canadian Geotechnical Journal
,
39
, 219-232.
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten, I.H. 2009.
The WEKA data mining software: an update.
SIGKDD Explorations
,
11
(1),
2009.
Hill, T. and Lewicki, P. 2006.
Statistics: Methods and Applications
. StatSoft, Inc.
Hwang, J.H., Yang, C.W. and Juang, D.S. 2004. A practical reliability-based method
for assessing soil liquefaction potential.
Soil Dynamics and Earthquake Engineer-
ing
,
24
(9-10), 761-770.
Idriss, I.M. and Boulanger, R.W. 2006. Semi-empirical procedures for evaluating
liquefaction potential during earthquakes.
Soil Dynamics and Earthquake Engi-
neering
,
26
(2-4), 115-130.
Ismail, M.A., Sadiq, R., Soleymani, H.R. and Tesfamariam, S. 2011. Developing a
road performance index using a Bayesian belief network model.
Journal of the
Franklin Institute
,
348
(9), 2539-2555.
Jensen, F.V. 1996.
An Introduction to Bayesian Networks.
London: UCL Press.
Joseph, S.A., Adams, B.J. and McCabe, B. 2010. Methodology for Bayesian belief
network development to facilitate compliance with water quality regulations.
Journal of Infrastructure Systems
,
16
(1), 58-65.
Juang, C.H., Jiang, T. and Andrus, R.D. 2002. Assessing probability-based methods
for liquefaction potential evaluation.
Journal of Geotechnical and Geoenviron-
mental Engineering
,
128
(7), 580-589.
Kappos, A.J., Stylianidis, K.C. and Pitilakis, K. 1998. Development of seismic risk
scenarios based on a hybrid method of vulnerability assessment.
Natural Hazards
,
17
, 177-192.
Katsis, A., Martzoukos, S. and Yannacopoulos, A. 2008. Bayesian statistical
expert opinion in option pricing.
Journal of Statistical Theory and Applications
,
7
,
33-50.
Kiremidjian, A. 1985. Subjective probabilities for earthquake damage and loss.
Structural Safety
,
1
, 309-317.
Kramer, S.L. 1996.
Geotechnical Earthquake Engineering
. Prentice Hall: Upper
Saddle River, NJ.
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