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Start Over Committee Member Ephraim Mont Hanks Keyword Machine Learning

1. Empirical Evaluation of the Efficient Market Hypothesis: A Machine Learning Approach

open_access
Open Access
Author:
Wright, Isaac
Title:
Empirical Evaluation of the Efficient Market Hypothesis: A Machine Learning Approach
Graduate Program:
Statistics
Keywords:
Machine Learning
Financial Markets
Efficient Market Hypothesis
Random Forest
Boosting
GLM
stocks
File:
Download IsaacWright_Thesis.pdf
Committee Members:
Matthew Logan Reimherr, Thesis Advisor/Co-Advisor
Jia Li, Committee Member
John C Liechty, Committee Member
Ephraim Mont Hanks, Program Head/Chair

2. COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS

open_access
Open Access
Author:
Sterge, Nicholas
Title:
COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS
Graduate Program:
Statistics (PHD)
Keywords:
Statistics
Kernel Methods
Machine Learning
Principal Component Analysis
Approximation Methods
File:
Download NicholasJSterge_Dissertation_2_0.pdf
Committee Members:
John Harlim, Outside Unit & Field Member
Bharath Kumar Sriperumbudur, Chair & Dissertation Advisor
Bing Li, Major Field Member
Ethan Fang, Major Field Member
Ephraim Mont Hanks, Program Head/Chair

3. Modern Algorithm-based approaches for Modeling Animal Movement

open_access
Open Access
Author:
Wijeyakulasuriya, Dhanushi
Title:
Modern Algorithm-based approaches for Modeling Animal Movement
Graduate Program:
Statistics
Keywords:
Animal Movement
Machine Learning
Extreme Value Theory
Spatial Extremes
First Arrival
Spatial Statistics
File:
Download Final_Submission_Aug2020.pdf
Committee Members:
Ephraim Mont Hanks, Dissertation Advisor/Co-Advisor
Ephraim Mont Hanks, Committee Chair/Co-Chair
Le Bao, Committee Member
Benjamin Shaby, Committee Chair/Co-Chair
Francesco Costanzo, Outside Member
Benjamin Shaby, Dissertation Advisor/Co-Advisor
Ephraim Mont Hanks, Program Head/Chair

4. Towards Sample Efficiency in Deep Learning

open_access
Open Access
Author:
Jenkins, Porter
Title:
Towards Sample Efficiency in Deep Learning
Graduate Program:
Information Sciences and Technology
Keywords:
Deep Learning
Machine Learning
Bayesian
Representation Learning
File:
Download Final_Defense__Towards_Statistical_Efficiency_in_Deep_Learning.pdf
Committee Members:
Jessie Li, Dissertation Advisor/Co-Advisor
Jessie Li, Committee Chair/Co-Chair
Suhang Wang, Committee Member
Zihan Zhou, Committee Member
Ephraim Mont Hanks, Outside Member
Vasant Gajanan Honavar, Program Head/Chair