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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)
Cognates are words in related languages that have originated from the same word in an ancestor language, such as the English/German word pair father/Vater. Cognate information is critical in the field of historical linguistics, where it is used to determine the relationships between languages and...
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
Intrinsically disordered regions (IDRs) in proteins lack stable three dimensional structure under physiological conditions. IDRs are prevalent in nature, functionally important, and difficult to characterize experimentally due to their unstructuredness. As a result, many computational methods...
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...
This thesis provides a description of the cardiac rhythm as a latent chain of heart sound arrivals which occur over time, where each arrival generates a fixed window of observable data that can be described with arbitrary feature functions. This description of the process produces tractable...
Ideal agent behaviour in multiagent environments depends on the behaviour of other agents. Consequently, acting to maximize utility is challenging since an agent must gather and exploit knowledge about how the other (potentially adaptive) agents behave. In this thesis, we investigate how an...
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 analysis of wide-angle cellular light scattering patterns is a challenging problem. Small changes to the organization, orientation, shape, and optical properties of scatterers and scattering populations can significantly alter their complex two-dimensional scattering signatures. Because of...
Each patient with Type-1 diabetes must decide how much insulin to inject before each meal to maintain an acceptable level of blood glucose. The actual injection dose is based on a formula that takes current blood glucose level and the meal size into consideration. While following this insulin...