Related references
Note: Only part of the references are listed.Bayesian Approach for Predicting Soil-Water Characteristic Curve from Particle-Size Distribution Data
Lin Wang et al.
ENERGIES (2019)
Intelligent Approach Based on Random Forest for Safety Risk Prediction of Deep Foundation Pit in Subway Stations
Ying Zhou et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2019)
Constructing Site-Specific Multivariate Probability Distribution Model Using Bayesian Machine Learning
Jianye Ching et al.
JOURNAL OF ENGINEERING MECHANICS (2019)
Characterisation of geotechnical model uncertainty
Kok-Kwang Phoon et al.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2019)
Effect of extrapolation on interpreted capacity and model statistics of steel H-piles
Kok-Kwang Phoon et al.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2019)
Determination of earth pressure balance tunnel-related maximum surface settlement: a multivariate adaptive regression splines approach
A. T. C. Goh et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
Determination of site-specific soil-water characteristic curve from a limited number of test data - A Bayesian perspective
Lin Wang et al.
GEOSCIENCE FRONTIERS (2018)
Multivariate Adaptive Regression Splines Approach to Estimate Lateral Wall Deflection Profiles Caused by Braced Excavations in Clays
Wengang Zhang et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2018)
Correlations for undrained shear strength of Finnish soft clays
Marco D'Ignazio et al.
CANADIAN GEOTECHNICAL JOURNAL (2016)
Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
Jian Zhou et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)
Bayesian Equivalent Sample Toolkit (BEST): an Excel VBA program for probabilistic characterisation of geotechnical properties from limited observation data
Yu Wang et al.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2016)
Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines
Wengang Zhang et al.
ENGINEERING GEOLOGY (2015)
Selection of site-specific regression model for characterization of uniaxial compressive strength of rock
Yu Wang et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2015)
Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
V. Rodriguez-Galiano et al.
ORE GEOLOGY REVIEWS (2015)
A Bayesian network approach for predicting seismic liquefaction based on interpretive structural modeling
Ji-Lei Hu et al.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2015)
An improvement to MLR model for predicting liquefaction-induced lateral spread using multivariate adaptive regression splines
Anthony T. C. Goh et al.
ENGINEERING GEOLOGY (2014)
Bayesian Model Comparison and Characterization of Undrained Shear Strength
Zijun Cao et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2014)
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)
Victor Rodriguez-Galiano et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2014)
Multivariate adaptive regression splines for analysis of geotechnical engineering systems
W. G. Zhang et al.
COMPUTERS AND GEOTECHNICS (2013)
Prediction of the shaft resistance of nondisplacement piles in sand
Ali Lashkari
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS (2013)
Permanent deformation analysis of asphalt mixtures using soft computing techniques
Mohammad Reza Mirzahosseini et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Uplift capacity of suction caisson in clay using multivariate adaptive regression spline
Pijush Samui et al.
OCEAN ENGINEERING (2011)
Multivariate adaptive regression (MARS) and hinged hyperplanes (HHP) for doweled pavement performance modeling
Nii O. Attoh-Okine et al.
CONSTRUCTION AND BUILDING MATERIALS (2009)
Classification with ant colony optimization
David Martens et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
Random Forests for land cover classification
PO Gislason et al.
PATTERN RECOGNITION LETTERS (2006)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Random forest classifier for remote sensing classification
M Pal
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Using iterated bagging to debias regressions
L Breiman
MACHINE LEARNING (2001)
Share Paper
