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- 45Machine learning
- 5Artificial intelligence
- 3Online learning
- 3Reinforcement learning
- 2White, Martha
- 1Ahmed, Eisha
- 1Ajallooeian, Mohammad Mahdi
- 1Allen, Felicity R
- 1Anvik, J.
- 1Araya, Ruben
- 41Graduate Studies and Research, Faculty of
- 41Graduate Studies and Research, Faculty of/Theses and Dissertations
- 1Biological Sciences, Department of
- 1Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 1Computing Science, Department of
- 1Computing Science, Department of/Technical Reports (Computing Science)
Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Diagnose ADHD and AutismDownload
A clinical tool that can diagnose psychiatric illness using functional or structural magnetic resonance (MR) brain images would greatly assist physicians. Here, we propose a learning algorithm that uses the histogram of oriented gradients (HOG) features of MR brain images, as well as personal...
This thesis focuses on the experimental and theoretical study of various rare-earth transition-metal germanides that contain three or four components. Ternary and quaternary germanides were synthesized through various methods, including direct reaction of the elements, arc-melting, and flux...
Decision-making problems with two agents can be modeled as two player games, and a Nash equilibrium is the basic solution concept describing good play in adversarial games. Computing this equilibrium solution for imperfect information games, where players have private, hidden information, is...
The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI dataDownload
One of the main challenges for the use of machine learning techniques in neuroimaging data is the small n, large p problem. Datasets usually contain only a few hundreds of instances (n), each of which is described using hundreds of thousands of features (p). In this dissertation, we explore the...
In a partial-monitoring game a player has to make decisions in a sequential manner. In each round, the player suffers some loss that depends on his decision and an outcome chosen by an opponent, after which he receives "some" information about the outcome. The goal of the player is to keep the...
Researchers conduct association studies to discover biomarkers in order to gain new biological insight on complex diseases and phenotypes. Although most researchers have intuitions about what defines a biomarker and how to assess the results of an association study, there is neither a formal...
We study linear estimation based on perturbed data when performance is measured by a matrix norm of the expected residual error, in particular, the case in which there are many unknowns, but the “best” estimator is sparse, or has small L1-norm. We propose a Lasso-like procedure that finds the...
The importance of anchor ice transport of sediment on a river is significantly understudied. This study addresses the lack of data related to anchor ice release and rafting. A large sample set of anchor ice was collected in the field over the 2015-2016 and 2016-2017 winter seasons to compute a...