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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 2011
Data federations allow the contents of multiple source databases to be accessed in a consistent manner. Since each source database is typically administered independently, heterogeneity often results, both in terms of how data is represented (i.e., the database schema), and in how controlled...
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Spring 2020
In model-based reinforcement learning, planning with an imperfect model of the environment has the potential to harm learning progress. But even when a model is imperfect, it may still contain information that is useful for planning. In this thesis, we investigate the idea of using an imperfect...
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Fall 2019
Dialogue generation systems (chatbots) are currently one of the most noted topics in natural language processing, and many companies are investing intensively on creating such systems for automation of tasks. Given the notable success of deep learning methods in the creation of state-of-the-art...
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Fall 2021
A large portion of quantitative information about entities mentioned in Web pages is expressed as Web tables, and these tables often lack proper schema and annotation, which introduces challenges for the purpose of querying and further analysis. In this thesis, we study the problem of annotating...
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Fall 2019
There has been tremendous research progress in estimating the depth of a scene from a monocular camera image. Existing methods for single-image depth prediction are exclusively based on deep neural networks, and their training can be unsupervised using stereo image pairs, supervised using LiDAR...