Using an attribute conversion approach for sample generation to learn small data with highly uncertain features
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Production Research"
DOI: 10.1080/00207543.2018.1444813
Abstract: Accelerating new product development has become an important marketing strategy for manufacturers who are competing globally. However, this may lead to the small data learning issue. Although machine learning algorithms are used to extract knowledge… read more here.
Keywords: highly uncertain; small data; sample generation; using attribute ... See more keywords
[Strategy and measures in response to highly uncertain emerging infectious disease].
Sign Up to like & getrecommendations! Published in 2022 at "Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi"
DOI: 10.3760/cma.j.cn112338-20220210-00106
Abstract: The incidence and spread of emerging infectious diseases are highly uncertain. This paper summarizes the uncertainty and complexity of emerging infectious disease, and suggests that for the response to the varied emerging infectious diseases in… read more here.
Keywords: infectious diseases; emerging infectious; highly uncertain; infectious disease ... See more keywords