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딥 러닝 기반 대학 이수학점 및 활동에 의한 교원임용 후보자 경쟁시험 합격여부 예측
Author
김근호, 김의정
Journal Title
한국정보통신학회논문지
Publication Year
2019
Topics
Summary
This study proposes a deep learning-based model to predict the pass/fail of teacher recruitment candidates in a competitive examination. It analyzes the possibility of passing by utilizing factors such as earned credits and university activities.
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