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31 학위논문 Eliciting and Aggregating Information for Better Decision Making 미리보기
Freeman, Rupert Duke University. : ProQuest Dissertations & Theses 001.5 2018 URL
32 학위논문 Learning, Moving, and Predicting with Global Motion Representations 미리보기
Jaegle, Andrew University of Pennsylvania. : ProQuest Dissertations & Theses 616 2018 URL
33 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
34 학위논문 Actionability and Incremental Interpretation 미리보기
Babkin, Petr Rensselaer Polytechnic Institute. : ProQuest Dissertations & Theses 001.5 2018 URL
35 학위논문 Predictive Coding Techniques With Manual Review to Identify Privileged Documents in E-Discovery 미리보기
Vinjumur, Jyothi K University of Maryland, College Park. : ProQuest Dissertations & Theses 001.5 2018 URL
36 학위논문 Precision Analytics: Learning and Optimization in the Personalized Setting 미리보기
Mintz, Yonatan University of California, Berkeley. : ProQuest Dissertations & Theses 658 2018 URL
37 학위논문 Combinatorial Inference for Large-Scale Data Analysis 미리보기
Lu, Junwei Princeton University. : ProQuest Dissertations & Theses 310 2018 URL
38 학위논문 Discovering and Exploiting Structure for Gaussian Processes 미리보기
Gardner, Jacob Ross Cornell University. : ProQuest Dissertations & Theses 001.5 2018 URL
39 학위논문 Provable and Practical Algorithms for Non-Convex Problems in Machine Learning 미리보기
Yuan, Yang Cornell University. : ProQuest Dissertations & Theses 004 2018 URL
40 학위논문 Sets as Measures: Optimization and Machine Learning 미리보기
Boyd, Nicholas University of California, Berkeley. : ProQuest Dissertations & Theses 001.5 2018 URL
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