91 |
|
Advances in Machine Learning: Nearest Neighbour Search, Learning to Optimize and Generative Modelling
|
Li, Ke
|
University of California, Berkeley. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
92 |
|
Optimization for Probabilistic Machine Learning
|
Fazelnia, Ghazal
|
Columbia University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
93 |
|
A Multifactorial, Multitask Approach to Automated Speaker Profiling
|
Simpson, Sean S
|
Georgetown University. : ProQuest Dissertations & Theses
|
400
|
2019
|
|
|
94 |
|
Learning Natural Language Interfaces Using Deep Neural Networks
|
Gur, Izzeddin
|
University of California, Santa Barbara. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
95 |
|
Creating Artificial Intelligence: An Inductive Study of How Creative Workers Forecast the Future and Manage Present Emotions
|
Hagtvedt, Lydia Paine
|
Boston College. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
96 |
|
Design of a Scalable, Configurable, and Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm and Recurrent Neural Networks
|
Dey, Sumon
|
North Carolina State University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
97 |
|
Understanding and Improving Mobile Reading via Scalable and Low Cost Sensing
|
Guo, Wei
|
University of Pittsburgh. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
98 |
|
Modern Optimization for Statistics and Learning
|
Eisenach, Carson Mark
|
Princeton University. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|
99 |
|
3D Scene and Event Understanding by Joint Spatio-Temporal Inference and Reasoning
|
Xu, Yuanlu
|
University of California, Los Angeles. : ProQuest Dissertations & Theses
|
004
|
2019
|
|
|
100 |
|
Tackling Graphical NLP Problems with Graph Recurrent Networks
|
Song, Linfeng
|
University of Rochester. : ProQuest Dissertations & Theses
|
001
|
2019
|
|
|