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Author:

Nag, Abhikesh

Title:

Combined Generative-Discriminative Learning for Object Recognition using Local Image Descriptors

Graduate Program:

Electrical Engineering

Keywords:

support vector machines
mixture models
SIFT features
generative-discriminative learning

File:

Download Thesis.pdf

Committee Members:

David Jonathan Miller, Thesis Advisor/Co-Advisor

Author:

Abar, Beau

Title:

Beyond Population Level Effects: Addressing Sample Heterogeneity in Prevention Research

Graduate Program:

Human Development and Family Studies

Keywords:

mixture models
prevention
skin cancer

File:

Download B_Abar_Formatted_Dissertation.pdf

Committee Members:

Eric Loken, Dissertation Advisor/Co-Advisor
Eric Loken, Committee Chair/Co-Chair
Michael J Rovine, Committee Member
Peter Cm Molenaar, Committee Member
Robert James Turrisi, Committee Member

Author:

Lin, Chu-Fang

Title:

Novel Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling

Graduate Program:

Electrical Engineering

Keywords:

nearest neighbor classification
mixture models
inductive inference
generative models
semisupervised learning
Expectation- Maximization algorithm

File:

Download CFL-DissertationFinal.pdf

Committee Members:

David Jonathan Miller, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
George Kesidis, Committee Member
William Kenneth Jenkins, Committee Member
Christopher Collins, Committee Member
Kenneth K Kuo, Committee Member

Author:

Young, Derek Scott

Title:

A Study of Mixtures of Regressions

Graduate Program:

Statistics

Keywords:

bootstrap
EM algorithm
mixture models
regression
data depth

File:

Download Derek-Dissertation.pdf

Committee Members:

David Russell Hunter, Committee Chair/Co-Chair
Thomas P Hettmansperger, Committee Member
G Jogesh Babu, Committee Member
Murali Haran, Committee Member
Hoben Thomas, Committee Member

Author:

Teng, Huei-Wen

Title:

BAYESIAN MIXTURE MODELS FOR DENSITY ESTIMATION

Graduate Program:

Statistics

Keywords:

density estimation
Bayesian anlaysis
mixture models
Dirichlet process

File:

Download Wen-Dissertation.pdf

Committee Members:

John C Liechty, Thesis Advisor/Co-Advisor
John C Liechty, Thesis Advisor/Co-Advisor

Author:

Qiao, Mu

Title:

Mixture Modeling for Complex and Large-scale Data with Applications

Graduate Program:

Computer Science and Engineering

Keywords:

mixture models
complex
large scale
high dimensional classification
clustering
visualization

File:

Download MuQiao_dissertation_updated.pdf

Committee Members:

Jia Li, Dissertation Advisor/Co-Advisor
James Z Wang, Dissertation Advisor/Co-Advisor
Jia Li, Committee Chair/Co-Chair
Daniel Kifer, Committee Chair/Co-Chair
Jesse Louis Barlow, Committee Member
Xiaolong Zhang, Committee Member

Author:

Sawant, Neela Kamlakar

Title:

Statistical Modeling of Image Semantics from Imperfectly Labeled Data Sets

Graduate Program:

Information Sciences and Technology

Keywords:

statistical modeling
image annotation
ARTEMIS
instance-weighting
mixture models
transfer learning
domain adaptation

File:

Download NeelaSawant-Dissertation.pdf

Committee Members:

James Z Wang, Dissertation Advisor/Co-Advisor
Jia Li, Dissertation Advisor/Co-Advisor
John Millar Carroll, Committee Member
C Lee Giles, Committee Member
Reka Z Albert, Committee Member

Author:

Kedagni, Desire

Title:

TESTING INSTRUMENT VALIDITY AND IDENTIFICATION WITH INVALID INSTRUMENTS

Graduate Program:

Economics

Keywords:

Potential outcome
instrumental variable
LATE
compliers
mixture models
IV zero-correlation
IV independence
Testable Implications.
Potential outcome
instrumental variable
LATE
compliers
mixture models
IV zero-correlation
IV independence
testable implications

File:

Download Kedagni-Dissertation.pdf

Committee Members:

Marc Albert Henry, Dissertation Advisor/Co-Advisor
Marc Albert Henry, Committee Chair/Co-Chair
Coenraad Arnout P Pinkse, Committee Member
Kala Krishna, Committee Member
Kari Lock Morgan, Outside Member
Ismael Mourifie, Special Member

Author:

Koch, Hillary

Title:

Statistical methods for the analysis of multi-condition large-scale genomic data

Graduate Program:

Statistics

Keywords:

large-scale inference
statistical genomics
mixture models
Gaussian process
composite likelihood
empirical Bayes

File:

Download KochDiss.pdf

Committee Members:

Qunhua Li, Dissertation Advisor/Co-Advisor
Qunhua Li, Committee Chair/Co-Chair
Francesca Chiaromonte, Committee Member
Lin Lin, Committee Member
Ross Cameron Hardison, Outside Member
Ephraim Mont Hanks, Program Head/Chair
Benjamin A Shaby, Special Member