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Skip to Search Results- 37Artificial intelligence
- 13NLP
- 10Machine learning
- 9Natural language processing
- 8Alignments
- 5Computational linguistics
- 3Noonari, Juned (Supervisor)
- 2Bao, H.
- 2Barker, Thomas (Supervisor)
- 2John B. Smith
- 2Kommadath, A.
- 2Plastow, G. S.
- 39Graduate and Postdoctoral Studies (GPS), Faculty of
- 39Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Master of Science in Internetworking (MINT)
- 4Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 4Biological Sciences, Department of
- 4Biological Sciences, Department of/Journal Articles (Biological Sciences)
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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...
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Spring 2012
Havannah is a recent game that is interesting from an AI research perspective. Some of its properties, including virtual connections, frames, dead cells, draws and races to win, are explained. Monte Carlo Tree Search (MCTS) is well suited to play Havannah, but many improvements are possible....
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Fall 2010
The game of Hex is of interest to the mathematics, algorithms, and artificial intelligence communities. It is a classical PSPACE-complete problem, and its invention is intrinsically tied to the Four Colour Theorem and the well-known strategy-stealing argument. Nash, Shannon, Tarjan, and Berge are...
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PROTEUS2: A Web Server for Comprehensive Protein Structure Prediction and Structure-Based Annotation
Download2008
Shrivistava, S., Berjanskii, M., Wishart, D.S., Cruz, J.A., Arndt, D., Montgomerie, S.
PROTEUS2 is a web server designed to support comprehensive protein structure prediction and structure-based annotation. PROTEUS2 accepts either single sequences (for directed studies) or multiple sequences (for whole proteome annotation) and predicts the secondary and, if possible, tertiary...
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Regret Minimization in Games and the Development of Champion Multiplayer Computer Poker-Playing Agents
DownloadSpring 2014
Recently, poker has emerged as a popular domain for investigating decision problems under conditions of uncertainty. Unlike traditional games such as checkers and chess, poker exhibits imperfect information, varying utilities, and stochastic events. Because of these complications, decisions at...
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Spring 2015
This dissertation explores regularized factor models as a simple unification of machine learn- ing problems, with a focus on algorithmic development within this known formalism. The main contributions are (1) the development of generic, efficient algorithms for a subclass of regularized...