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Start Over Graduate Program Computer Science and Engineering Keyword machine learning

2. Machine Learning for Text Mining: Classification, Retrieval and Recommendation

open_access
Open Access
Author:
Song, Yang
Title:
Machine Learning for Text Mining: Classification, Retrieval and Recommendation
Graduate Program:
Computer Science and Engineering
Keywords:
classification
machine learning
text classification
information retrieval
clustering
recommendation
File:
Download yangsong_dissertation.pdf
Committee Members:
C Lee Giles, Dissertation Advisor/Co-Advisor
C Lee Giles, Committee Chair/Co-Chair
Wang Chien Lee, Committee Member
Jia Li, Committee Member
Jesse Louis Barlow, Committee Member
Bing Li, Committee Member

6. Characterizing the Limits and Defenses of Machine Learning in Adversarial Settings

open_access
Open Access
Author:
Papernot, Nicolas
Title:
Characterizing the Limits and Defenses of Machine Learning in Adversarial Settings
Graduate Program:
Computer Science and Engineering
Keywords:
computer security
machine learning
adversarial examples
File:
Download Papernot_PhD_final.pdf
Committee Members:
Patrick D. McDaniel, Dissertation Advisor/Co-Advisor
Patrick D. McDaniel, Committee Chair/Co-Chair
Trent Jaeger, Committee Member
Thomas F. La Porta, Committee Member
Aleksandra B. Skavkovic, Outside Member
Dan Boneh, Special Member
Ian J. Goodfellow, Special Member

8. Machine-Learning-Based Approaches for Learning Marketing Strategies

open_access
Open Access
Author:
Lin, Yu San
Title:
Machine-Learning-Based Approaches for Learning Marketing Strategies
Graduate Program:
Computer Science and Engineering
Keywords:
machine learning
deep learning
probabilistic generative model
marketing
crowdfunding
menu design
competition
word worth
reward
kickstarter
File:
Download yusan-Dissertation_v3.pdf
Committee Members:
Wang-Chien Lee, Dissertation Advisor/Co-Advisor
Kamesh Madduri, Committee Member
Sencun Zhu, Committee Member
Wang-Chien Lee, Committee Member
Mary Beth Rosson, Outside Member
Wang-Chien Lee, Committee Chair/Co-Chair

9. Temporal and Structural Machine Learning from Transportation Data

open_access
Open Access
Author:
Zhan, Hongyuan
Title:
Temporal and Structural Machine Learning from Transportation Data
Graduate Program:
Computer Science and Engineering
Keywords:
machine learning
time series prediction
optimization
intelligent transportation
structural learning
File:
Download HyZhanDissertation.pdf
Committee Members:
Kamesh Madduri, Dissertation Advisor/Co-Advisor
Kamesh Madduri, Committee Chair/Co-Chair
Jesse Louis Barlow, Committee Member
Wang-Chien Lee, Committee Member
Necdet S Aybat, Outside Member
Kesheng Wu, Special Member
Xiaoye Sherry Li, Special Member
Gabriel Gomes, Special Member

10. Maritime Navigation and Contact Avoidance through Reinforcement Learning

open_access
Open Access
Author:
Davis, Steven
Title:
Maritime Navigation and Contact Avoidance through Reinforcement Learning
Graduate Program:
Computer Science and Engineering
Keywords:
reinforcement learning
machine learning
maritime
unmanned underwater vehicle
autonomous underwater vehicle
q learning
navigation
autonomous
File:
Download Davis_MS_Thesis_Final.pdf
Committee Members:
Vijaykrishnan Narayanan, Thesis Advisor/Co-Advisor
John Phillip Sustersic, Jr., Thesis Advisor/Co-Advisor

14. GRAPH AND TRAJECTORY MINING: FRAMEWORKS,ALGORITHMS AND APPLICATIONS

open_access
Open Access
Author:
Fu, Tao Yang
Title:
GRAPH AND TRAJECTORY MINING: FRAMEWORKS,ALGORITHMS AND APPLICATIONS
Graduate Program:
Computer Science and Engineering
Keywords:
machine learning
representation learning
neural network
network data
trajectory data
spatio-temporal data
node classification
link prediction
travel time estmiation
route planning
File:
Download dissertation_final.pdf
Committee Members:
Wang-Chien Lee, Dissertation Advisor/Co-Advisor
Wang-Chien Lee, Committee Chair/Co-Chair
Sencun Zhu, Committee Member
Kamesh Madduri, Committee Member
Jia Li, Outside Member
Zhen Lei, Dissertation Advisor/Co-Advisor
Paul Medvedev, Committee Member
Chitaranjan Das, Program Head/Chair
Zhen Lei, Committee Chair/Co-Chair