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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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Spring 2014
Efficient, unbiased estimation of agent performance is essential for drawing statistically significant conclusions in multi-agent domains with high outcome variance. Naive Monte Carlo estimation is often insufficient, as it can require a prohibitive number of samples, especially when evaluating...
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Fall 2013
The current computer input devices are either direct or indirect based on how interactive input data is interpreted by a computing system. Existing research have shown the benefits and limitations of both input modalities, and found that the limits of one input mode are the advantages of the...
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Fall 2018
Microscopic image analysis is a broad term that covers the use of digital image processing techniques to process and analyze images obtained from a microscope. It is of significant interest to a number of diverse fields such as medicine, biological research, cancer research, drug testing, etc. A...
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Spring 2012
Hiding and seeking are cognitive abilities frequently demonstrated by humans in both real life and video games. To test to which extent this ability can be replicated by Artificial Intelligence, we introduce a specialized version of the Turing test for hiding and seeking. We then develop an agent...
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Fall 2012
This dissertation contributes to developing shape-guided algorithms for interactive image segmentation. Prior knowledge which describes what is expected in an image is the key to success for many challenging applications. This research takes advantage of prior knowledge in terms of shape priors,...
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Fall 2013
Wireless sensor networks have become a very important tool for monitoring physical and environmental conditions over a wide area. These networks are distributed collections of small sensor nodes. Typically, sensor nodes collect data that must converge to a single sink location, possibly across...
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Fall 2009
The problem of stress assignment is to identify which syllables are phonetically more prominent than the others in a word. It is not only of theoretical interests to linguists but also very important to Text-to-Speech systems in terms of both accuracy and naturalness of pronunciation. Besides...