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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 83Machine Learning
- 76Reinforcement Learning
- 42Artificial Intelligence
- 37Machine learning
- 24Natural Language Processing
- 23reinforcement learning
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Fall 2013
The amount of information available on the Web is rapidly growing, and the need for extracting more useful and relevant data from this tremendously large source has become an interesting research challenge. Among various types of useful information that can be extracted, lists in particular are...
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Spring 2019
Forouzandehmoghadam, Amirhosein
A biomarker is a feature (e.g., gene expression, SNP, etc.) that is significantly different between two classes of instances – typically case and control. Knowing these biomarkers can help us understand a biological condition or identify the appropriate treatment for a certain disease. Many...
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Spring 2016
This thesis describes a novel controversy model that helps the current manual process in automatically identifying controversial Wikipedia articles and warning readers about disputable information contained in these articles. The model is based on identifying collaboration patterns among editors...
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Spring 2013
Software development is an inherently team-based activity, and many software-engineering courses are structured around team projects, in order to provide students with an authentic learning experience. In these courses, student developers define, share and manage their tasks, relying on...
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Fall 2024
Research on board games focuses on playing at a superhuman level or finding exact solutions. Recently, Artificial Intelligence (AI) has become really good at playing complex games such as Go. Comparing AI systems to perfect play helps us understand how advanced AI has become. This research...
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Fall 2018
Domain-specific knowledge plays a significant role in the success of many Monte Carlo Tree Search (MCTS) programs. The details of how knowledge affects MCTS are still not well understood. In this thesis, we focus on identifying the effects of different types of knowledge on the behaviour of the...
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Spring 2024
In recent years, significant strides in optimal bidirectional heuristic search (Bi-HS) have deepened our theoretical understanding and boosted performance. Yet, algorithms for Bi-HS in unbounded suboptimal scenarios remains largely unexplored. Despite leveraging front-to-end (F2E) and...