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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

Author:

Liu, Shuo Shuo

Title:

Statistical Learning on High-Dimensional Multi-Source Data

Graduate Program:

Statistics (PHD)

Keywords:

Transfer Learning
Multi-View Clustering
High-Dimensional Data
Machine Learning

File:

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Committee Members:

Bing Li, Professor in Charge/Director of Graduate Studies
Xiang Zhu, Major Field Member
Lan Kong, Outside Unit & Field Member
Matthew Reimherr, Major Field Member
Runze Li, Chair & Dissertation Advisor

Author:

Wright, Isaac

Title:

Machine Learning Methods for Regression and Classification with Functional Data

Graduate Program:

Statistics (PHD)

Keywords:

Functional Data
Boosting
Decision Trees
Classification
Regression
Machine Learning
Supervised Learning
Unsupervised Learning

File:

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Committee Members:

Ephraim Hanks, Professor in Charge/Director of Graduate Studies
Jia Li, Major Field Member
Matthew Reimherr, Chair & Dissertation Advisor
John Liechty, Outside Unit & Field Member
Francesca Chiaromonte, Major Field Member