Development of Subsurface Geological Cross-Section from Limited Site-Specific Boreholes and Prior Geological Knowledge Using Iterative Convolution XGBoost

Author:

Shi Chao1,Wang Yu2ORCID

Affiliation:

1. Ph.D. Student, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong.

2. Professor, Dept. of Architecture and Civil Engineering, City Univ. of Hong Kong, Tat Chee Ave., Kowloon, Hong Kong (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Geotechnical Engineering and Engineering Geology,General Environmental Science

Reference38 articles.

1. Boeckmann, A. Z., and J. E. Loehr. 2016. Influence of geotechnical investigation and subsurface conditions on claims, change orders, and overruns. National cooperative highway research program synthesis 484. Washington, DC: Transportation Research Board.

2. Multiple-Point Statistics for Training Image Selection

3. Boureau Y. F. Bach Y. LeCun and J. Ponce. 2010a. “Learning mid-level features for recognition.” In Proc. 2010 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition 2559–2566. New York: IEEE.

4. Boureau Y. J. Ponce and Y. LeCun. 2010b. “A theoretical analysis of feature pooling in visual recognition.” In Proc. 27th Int. Conf. on Machine Learning (ICML-10) 111–118. Alexandria VA: National Science Foundation.

5. Chen T. and C. Guestrin. 2016. “Xgboost: A scalable tree boosting system.” In Proc. 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining 785–794. New York: Special Interest Group on Management of Data.

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