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1.
- MACHINE LEARNING-BASED SYSTEM MODELING FOR SPECTRUM SENSING & SEMANTIC SEGMENTATION = 기계학습 알고리즘을 이용한 스펙트럼 검출 및 영항분할 시스템 설계
- Jun Hee Kim, DGIST, [2020]
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- Learning in the workplace
- Nagypal, Eva, Stanford University, [2001]
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- Neural network realization of aplysia memory and learning mechanism and research on the role of interneurons in neural networks
- 장가민, 전주대학교 일반대학원, [2022]
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4.
- Learning to Optimize: Applications in Physical Designs and Manufacturing
- Wang, Haozhu, ProQuest Dissertations & Theses University of Mich, [2022]
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5.
- Learning from Limited Data: Deep Generative Models and Applications = 제한된 데이터로부터의 학습: 딥 생성 모델 및 응용
- 황의원, 서울대학교 대학원, [2023]
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6.
- Learning General and Correct Procedural Knowledge in a Cognitive Architecture
- Assanie, Mazin, ProQuest Dissertations & Theses University of Mich, [2022]
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7.
- Learning experiences of Korean teacher-learners in an in-service teacher education course on teaching english in english
- 고은영, 서울대학교 대학원, [2013]
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8.
- Perceptions and uses of online information sources : focusing on undergraduate students' learning environments
- 손보연, 서울대학교 융합과학기술대학원, [2013]
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9.
- Learning Curve Characterization within Complex Low-Rate Production Environments
- Gies, Robert J, ProQuest Dissertations & Theses Old Dominion Unive, [2022]
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10.
- Materiality design for second language learning with a focus on active and passive scenarios
- Maia, Camilla Cavalcante, Graduate School, Yonsei University, [2019]