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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 22Natural Language Processing
- 22Reinforcement learning
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Fall 2015
Simultaneous localization and mapping (SLAM) in an unknown environment is a prerequisite to have a truly autonomous mobile robot. In this thesis, we focus on appearance-based visual SLAM, for which we develop a graph-based nearest-neighbor search algorithm to speed up bag-of-words (BoW) image...
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Electric Vehicle Charging Station Resource Allocation: A Data-Driven Robust Optimization Approach
DownloadFall 2023
The adoption of electric vehicles has been growing steadily in recent years, and projections indicate that this trend will continue. However, the availability and capacity of charging stations have not kept pace with this growth, leading to long wait times and congestion at charging stations. The...
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Fall 2019
The Nerve Excitability Test (NET) is an electrodiagnostic test capable of non-invasive characterization of peripheral nerves in humans. It has utility in differentiating between healthy controls and subjects with peripheral nerve disorders. Full realization of the diagnostic potential of NET...
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Fall 2020
This dissertation investigates the properties of representations learned by modern deep reinforcement learning systems. Representation learning plays an important roll in reinforcement learning. A representation contains information extracted from states---the description of the current situation...
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Fall 2015
Emotion mining is the science of detecting, analyzing, and evaluating humans’ feelings towards different events, issues, services, or any other interest. One of its specific directions is text emotion mining, that refers to analyzing people’s emotions based on observations of their writings. Text...
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Spring 2022
Boolean Satisfiability (SAT) is a well-known NP-complete problem. Despite the theoretical hardness of SAT, backtracking search based Conflict Directed ClauseLearning (CDCL) SAT solvers can solve very large real-world SAT instances with surprising efficiency. The high efficiency of CDCL SAT...