71 |
|
Meta-Learning for Data and Processing Efficiency
|
Ravi, Sachin
|
Princeton University. : ProQuest Dissertations & Theses
|
004
|
2019
|
|
|
72 |
|
Improving Prognostic Moist Turbulence Parameterization with Machine Learning and Software Design
|
McGibbon, Jeremy
|
University of Washington. : ProQuest Dissertations & Theses
|
621
|
2019
|
|
|
73 |
|
Networked Trust: Computational Understanding of Interpersonal Trust Online
|
Ma, Xiao
|
Cornell University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
74 |
|
Algorithms for Query-Efficient Active Learning
|
Yan, Songbai
|
University of California, San Diego. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
75 |
|
Methods for Improving Natural Language Processing Techniques with Linguistic Regularities Extracted from Large Unlabeled Text Corpora
|
Lucas, Michael Ryan
|
Northwestern University. : ProQuest Dissertations & Theses
|
004
|
2019
|
|
|
76 |
|
Using CNNs to Understand Lighting Without Real Labeled Training Data
|
Zhou, Hao
|
University of Maryland, College Park. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
77 |
|
Scalable Machine Learning Using Dataflow Graph Analysis
|
Huang, Chien-Chin
|
New York University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
78 |
|
Life Language Processing: Deep Learning-based Language-agnostic Processing of Proteomics, Genomics/Metagenomics, and Human Languages
|
Asgari, Ehsaneddin
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
004
|
2019
|
|
|
79 |
|
Simulating Drug Responses in Laboratory Test Time Series with Deep Generative Modeling
|
Yahi, Alexandre
|
Columbia University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
80 |
|
Towards Automatic Machine Learning Pipeline Design
|
Milutinovic, Mitar
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|