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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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Spring 2024
In machine learning and data mining, outliers—data points significantly differing from the majority—often pose challenges by introducing irrelevant information. Unsupervised methods are often used for detecting them as the information about outliers is unknown. Global-Local Outlier Scores based...
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Fall 2012
In this dissertation, I discuss several important problems in the area of bio-relation discovery (BRD). Discovering bio-relations is an important problem that arises frequently in bioinformatics. It involves identifying relationships (usually pairwise) between bio-entities. These relationships...
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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 2010
We investigate the use of machine learning to create effective heuristics for single-agent search. Our method aims to generate a sequence of heuristics from a given weak heuristic h{0} and a set of unlabeled training instances using a bootstrapping procedure. The training instances that can be...
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Fall 2013
Due to its wide application in various fields, clustering, as a fundamental unsupervised learning problem, has been intensively investigated over the past few decades. Unfortunately, standard clustering formulations are known to be computationally intractable. Although many convex relaxations of...
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Fall 2013
As the size of the World Wide Web and the type of documents it holds grow, the need for tools helping users to find their required information becomes more increasingly important. There are several ways to summarize, navigate through or retrieve documents on the web, such as query-based search...
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Fall 2018
The bug-assignment problem is prevalently defined as ranking developers based on their competence to fix a given bug. Previous methods in the area used machine-learning or information-retrieval techniques and considered textual elements of bug reports as evidence of expertise of developers to...