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When Machine Learning Meets Social Science: A Comparative study of Ordinary Least Square, Stochastic Gradient Descent, and Support Vector Regression for Exploring the Determinants of Behavioral Intentions to Tuberculosis screening

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dc.contributor.author이병관-
dc.date.accessioned2024-01-10T10:31:25Z-
dc.date.available2024-01-10T10:31:25Z-
dc.date.issued2021-11-19-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/116522-
dc.titleWhen Machine Learning Meets Social Science: A Comparative study of Ordinary Least Square, Stochastic Gradient Descent, and Support Vector Regression for Exploring the Determinants of Behavioral Intentions to Tuberculosis screening-
dc.typeConference-
dc.citation.conferenceName2021 한국헬스커뮤니케이션학회 후기학술대회-
dc.citation.conferencePlace대한상공회의소-
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COLLEGE OF COMMUNICATION (DEPARTMENT OF ADVERTISING & PUBLIC RELATIONS)
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