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Skip to Search Results- 76Machine learning
- 11Online learning
- 5Artificial intelligence
- 5Reinforcement learning
- 3Data mining
- 3Game theory
- 2White, Martha
- 1Afaghi, Mohammad
- 1Ajallooeian, Mohammad Mahdi
- 1Alinezhad, Haniyeh Seyed
- 1Allen, Felicity R
- 1Araya, Ruben
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Fall 2017
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...
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Fall 2021
Salah Mohammed Awad AL-Heejawi
The histopathological examination of tissue biopsies is used as the gold standard by pathologists for diagnosing skin cancers, such as melanoma. Traditionally, the histopathological slides are examined by clinicians under a microscope. With recent advances in digital imaging and scanning, a glass...
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Impact Evaluation of Climate Smart Agriculture Program Investments in Food Security Using Machine Learning Estimators
DownloadSpring 2023
Smallholder farmers in rural regions of developing countries are often vulnerable to climate events. Climate Smart Agriculture (CSA) seeks to sustain or improve agricultural yields while mitigating climate change. The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)...
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Spring 2020
Collisions of motorized transport with wildlife impact a wide range of species and can cause injuries and economic losses to people. On roads, vehicle collisions with animals have been studied extensively, resulting in mitigation measures that reduce collisions by segregating animals and...
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Fall 2018
Multiple studies have reported results of activities focused on development of different algorithms for prognosis of failures of apparatuses and machines. Failure prediction allows to schedule maintenance activities, increase productivity, and decrease inventory of spare parts. Construction of...
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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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Fall 2020
Learning online is essential for an agent to perform well in an ever-changing world. An agent has to learn online not only out of necessity --- a non-stationary world might render past learning useless --- but also because continual tracking in a temporally coherent world can result in better...