Work

Active expansion sampling for learning feasible domains in an unbounded input space

Year: 2018

Type: article

Source: Structural and Multidisciplinary Optimization

DOI: 10.1007/s00158-017-1894-y

Authors: Wei Chen, Mark Fuge

Institution: University of Maryland, College Park

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: University of Maryland

OpenAlex ID: W2963324331

FWCI: 1.127

Cites: 63

Cited by: 18

Related to: 10