Work

Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering applications

Year: 2022

Type: article

Source: Structures

DOI: 10.1016/j.istruc.2022.10.004

Authors: Xingquan Guan, Henry Burton

Institution: University of California, Los Angeles

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Award: CAREER: From Performance-Based Engineering to Resilience and Sustainability: Design and Assessment Principles for the Next Generation of Buildings

OpenAlex ID: W4307056866

FWCI: 1.936

Cites: 42

Cited by: 48

Related to: 10