| contributor author | Mun, Changuk | |
| contributor author | Song, Junho | |
| date accessioned | 2026-08-20T21:29:02Z | |
| date available | 2026-08-20T21:29:02Z | |
| date copyright | 2025/12/31 | |
| date issued | 2026 | |
| identifier other | AJRUA6.RUENG-1799.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314531 | |
| description abstract | AbstractBayesian network (BN) is an effective tool to describe and interpret the probability
distribution of a complex phenomenon. Essential building blocks in discrete BNs are
conditional probability tables (CPTs) quantifying statistical dependence ... | |
| publisher | American Society of Civil Engineers | |
| title | Surrogate Model–Assisted Learning of Conditional Probability Tables of Bayesian Networks Describing Structural Systems | |
| type | Journal Article | |
| journal volume | 12 | |
| journal issue | 1 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1799 | |
| journal fristpage | 04025113-1 | |
| journal lastpage | 04025113-14 | |
| page | 14 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001 | |
| contenttype | Fulltext | |
