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61 학위논문 Selectively Decentralized Reinforcement Learning 미리보기
Nguyen, Thanh Minh Purdue University. : ProQuest Dissertations & Theses 001.5 2018 URL
62 학위논문 Predictive Modeling of Complex Graphs as Context and Semantics Preserving Vector Spaces 미리보기
Moon, Changsung North Carolina State University. : ProQuest Dissertations & Theses 004 2018 URL
63 학위논문 Combining Machine Learning with Computer Vision for Precision Agriculture Applications 미리보기
Zermas, Dimitris University of Minnesota. : ProQuest Dissertations & Theses 631 2018 URL
64 학위논문 Essays on Random Forest Ensembles 미리보기
Olson, Matthew University of Pennsylvania. : ProQuest Dissertations & Theses 310 2018 URL
65 학위논문 Semantic Operations for Transfer-Based Machine Translation 미리보기
Goodman, Michael Wayne University of Washington. : ProQuest Dissertations & Theses 401 2018 URL
66 학위논문 Video Understanding with Deep Networks 미리보기
Ng, Joe Yue-Hei University of Maryland, College Park. : ProQuest Dissertations & Theses 004 2018 URL
67 학위논문 Eliciting and Aggregating Information for Better Decision Making 미리보기
Freeman, Rupert Duke University. : ProQuest Dissertations & Theses 001.5 2018 URL
68 학위논문 Learning, Moving, and Predicting with Global Motion Representations 미리보기
Jaegle, Andrew University of Pennsylvania. : ProQuest Dissertations & Theses 616 2018 URL
69 학위논문 Latent Representation and Sampling in Network: Application in Text Mining and Biology 미리보기
Saha, Tanay Kumar Purdue University. : ProQuest Dissertations & Theses 004 2018 URL
70 학위논문 Actionability and Incremental Interpretation 미리보기
Babkin, Petr Rensselaer Polytechnic Institute. : ProQuest Dissertations & Theses 001.5 2018 URL
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