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Skip to Search Results- 36Machine learning
- 13Optimization
- 5Artificial intelligence
- 3Game theory
- 3Machine Learning
- 3Online learning
- 2White, Martha
- 1Abdullah
- 1Ahmad, Zaheen F
- 1Ajallooeian, Mohammad Mahdi
- 1Allen, Felicity R
- 1Ammar, Khaled A.
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Fall 2017
On the one hand, theoretical analyses of machine learning algorithms are typically performed based on various probabilistic assumptions about the data. While these probabilistic assumptions are important in the analyses, it is debatable whether such assumptions actually hold in practice. Another...
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Learning in silico Reactant and Bond-of-Metabolism Predictors for Human Cytochrome P450 Enzymes
DownloadFall 2019
Human beings are exposed to many chemicals through their routine interactions with the environment, such as food/drug consumption, household or workplace activities, industrial or transportation activities, and even common environmental processes. Once absorbed, these chemicals are usually...
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Fall 2009
In this thesis we consider the task of catching a moving target with multiple pursuers, also known as the “Pursuit Game”, in which coordination among the pursuers is critical. Our testbed is inspired by the pursuit problem in video games, which require fast planning to guarantee fluid frame...
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Low-rank and Sparse based Representation Methods with the Application of Moving Object Detection
DownloadFall 2019
In this thesis, we study the problem of detecting moving objects from an image sequence using low-rank and sparse representation concepts. The identification of changing or moving areas in the field of view of a camera is a fundamental step in visual surveillance, smart environments, and video...
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Machine learning classification of plant genotypes grown under different light conditions through the integration of multi-scale time-series data
DownloadFall 2023
In order to mitigate the effects of a changing climate, agriculture requires more effective evaluation, selection, and production of crop cultivars in order to accelerate genotype-to-phenotype connections and the selection of beneficial traits. Critically, plant growth and development are highly...
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Fall 2012
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...
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Spring 2014
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...
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Fall 2021
The optimization of non-convex objective functions is a topic of central interest in machine learning. Remarkably, it has recently been shown that simple gradient-based optimization can achieve globally optimal solutions in important non-convex problems that arise in machine learning, including...
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Spring 2016
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...