Search
Skip to Search Results- 36Machine learning
- 12Optimization
- 5Artificial intelligence
- 3Game theory
- 3Machine Learning
- 3Online learning
- 2White, Martha
- 1Abdullah
- 1Ahmad, Zaheen F
- 1Ajallooeian, Mohammad Mahdi
- 1Allen, Felicity R
- 1Ammar, Khaled A.
-
Spring 2010
This thesis presents Pathway Informed Analysis (PIA), a classification method for predicting disease states (diagnosis) from metabolic profile measurements that incorporates biological knowledge in the form of metabolic pathways. A metabolic pathway describes a set of chemical reactions that...
-
Spring 2010
In this work, we present a unified, general approach to variance reduction in agent evaluation using machine learning to minimize variance. Evaluating an agent's performance in a stochastic setting is necessary for agent development, scientific evaluation, and competitions. Traditionally,...
-
Action Selection for Hammer Shots in Curling: Optimization of Non-convex Continuous Actions With Stochastic Action Outcomes
DownloadSpring 2017
Optimal decision making in the face of uncertainty is an active area of research in artificial intelligence. In this thesis, I present the sport of curling as a novel application domain for research in optimal decision making. I focus on one aspect of the sport, the hammer shot, the last shot...
-
Advanced Machine Learning Techniques for Analysis of 4D Brain Images in Ischemic Stroke Diagnosis and Assessment
DownloadFall 2023
Acute Ischemic Stroke (AIS), a devastating cerebrovascular disorder, is one of the leading causes of disability and mortality worldwide. It occurs when the blood supply to a part of the brain is interrupted, resulting in the deprivation of oxygen and nutrients, leading to neuronal damage and...
-
Advances in Probabilistic Generative Models: Normalizing Flows, Multi-View Learning, and Linear Dynamical Systems
DownloadFall 2020
This thesis considers some aspects of generative models including my contributions in deep probabilistic generative architectures and linear dynamical systems. First, some advances in deep probabilistic generative models are contributed. Flow-based generative modelling is an emerging and highly...
-
Alzheimer’s Dementia Detection Through Machine Learning: Analyzing Linguistic and Acoustic Features in Spontaneous Speech
DownloadFall 2023
With the rapid aging of the world’s population, the global burden of aging related mental disorders, such as Alzheimer’s dementia (AD), is also on the rise. Unfortunately global healthcare systems are vastly under-resourced, which means that many people who need mental health services are unable...
-
Fall 2015
In this thesis, we consider two closely related clustering problems, Min Sum k-Clustering (MSkC) and Balanced k-Median (BkM). In Min Sum k-clustering, one is given a graph and a parameter k, and has to partition the vertices in the graph into k clusters to minimize the sum of pairwise distances...
-
Fall 2011
With increasing software size and complexity, corrective software maintenance has become a challenging process. When a failure is reported, it takes time and expertise for human operators to collect the right information and pinpoint the root cause. Typically, the operators are overloaded with...