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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 2023
In this thesis, we study the problem of performance prediction for open-domain multi-hop Question Answering (QA), where the task is to estimate the difficulty of evaluating a multi-hop question over a corpus. Despite the extensive research on predicting the performance of ad-hoc and QA retrieval...
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Fall 2014
In the face of an overwhelmingly information intensive Internet, searching has become the most important way to locate information efficiently. Current searching techniques are able to retrieve relevant data, however, personalization techniques are still needed to better identify different user...
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Fall 2023
We consider stochastic generalized linear bandit (GLB) problems when the reward distributions are log-concave and subgaussian. We consider for this problem the perturbed history exploration (PHE) algorithmIn each round of its operation, PHE perturbs the observed rewards by adding fresh noise to...
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Physically-based baking animation using smoothed particle hydrodynamics for non-Newtonian fluids
DownloadSpring 2011
This thesis explores the mesh-free fluid simulation method of Smoothed Particle Hydrodynamics, and its application in the modelling of the baking process. A framework is proposed to generate dramatic-looking animations while maintaining the simulation physically plausible. In this framework, SPH...