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contributor authorGao, Jingze
contributor authorWei, Shiyin
contributor authorHuang, Yong
date accessioned2026-08-20T21:25:52Z
date available2026-08-20T21:25:52Z
date copyright2025/09/19
date issued2026
identifier otherJCCEE5.CPENG-6822.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314440
description abstractAbstractMultitask sparse Bayesian learning (SBL) has received extensive attention because it makes full use of multiple groups of data by joint learning of sparse representations for multiple models. It is capable of producing superior performance, ...
publisherAmerican Society of Civil Engineers
titleMultitask Sparse Bayesian Machine Learning with Applications in Modeling of Seismic Attenuation and Clay Parameters with Small Data Sets
typeJournal Article
journal volume40
journal issue1
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6822
journal fristpage04025109-1
journal lastpage04025109-19
page19
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
contenttypeFulltext


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