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Start Over Graduate Program Electrical Engineering Committee Member David Jonathan Miller Keyword machine learning

2. FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING

open_access
Open Access
Author:
Aksu, Yaman
Title:
FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING
Graduate Program:
Electrical Engineering
Keywords:
Alzheimer
Support Vector Machine
biomedical imaging
discriminant function
classification
machine learning
MRI
brain imaging
gene microarray
File:
Download ya_thesis_after5aug10review.pdf
Committee Members:
Profs David J Miller And George Kesidis, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
George Kesidis, Committee Member
Qing X Yang, Committee Chair/Co-Chair
Constantino Manuel Lagoa, Committee Member
James Z Wang, Committee Member

3. Novel Task Decomposition And Aggregation methods For Knowledge Discovery In Multi-agent systems

open_access
Open Access
Author:
Kurve, Aditya C
Title:
Novel Task Decomposition And Aggregation methods For Knowledge Discovery In Multi-agent systems
Graduate Program:
Electrical Engineering
Keywords:
multi-agent systems
knowledge discovery
game theory
machine learning
Nash equilibrium
crowdsourcing
generative modeling
File:
Download AdityaKurve-Dissertation.pdf
Committee Members:
George Kesidis, Dissertation Advisor/Co-Advisor
Kultegin Aydin, Committee Chair/Co-Chair
David Jonathan Miller, Committee Member
John F Doherty, Committee Member
Jason Ryder Morton, Committee Member
Christopher H Griffin, Committee Member

4. Network Traffic Analysis: Anomaly Detection and Some Implications of Neutrality

open_access
Open Access
Author:
Kocak, Fatih
Title:
Network Traffic Analysis: Anomaly Detection and Some Implications of Neutrality
Graduate Program:
Electrical Engineering
Keywords:
machine learning
anomaly detection
p-value
clustering
feature selection
network neutrality
game theory
caching
networks
File:
Download FatihKocak-Dissertation.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
George Kesidis, Dissertation Advisor/Co-Advisor
Kenneth Jenkins, Committee Member
John F Doherty, Committee Member
Anna Cinzia Squicciarini, Committee Member

5. Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints

open_access
Open Access
Author:
Raghuram, Jayaram
Title:
Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints
Graduate Program:
Electrical Engineering
Keywords:
semisupervised classification
semisupervised constraint based learning
classifier domain adaptation
machine learning
File:
Download Jayaram-Dissertation.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
David Jonathan Miller, Committee Chair/Co-Chair
George Kesidis, Committee Member
Kenneth Jenkins, Committee Member
Dr Yu Zhang, Committee Member