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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
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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Budgeted Gradient Descent: Selective Gradient Optimization for Addressing Misclassifications in DNNs
DownloadFall 2024
Artificial neural networks have become a popular learning approach for theirability to generalize well to unseen data. However, misclassifications can still occur due to various data-related issues, such as adversarial inputs, out-of-distribution samples, and model-related challenges, such as...
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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...
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Bughunting on a Budget: Exploring Quality Assurance Practices and Tools for Indie Game Developers
DownloadFall 2022
The games industry is growing worldwide, eclipsing the global film industry as a premier entertainment solution. The development of a commercial game is a complex, lengthy, and costly process, and increasing amounts of resources are required to build a successful game as technology improves. To...
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Fall 2012
Software build systems are often viewed as a solved problem by software engineers, since there are many mature tools and techniques for implementing them. However, existing tools and techniques focus on building single-language software and do not necessarily scale to building multilanguage...
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Fall 2020
The power of associative classifiers is to determine patterns from the data and perform classification based on the features that are most indicative for prediction. Although they have emerged as competitive classification systems, however, they suffer limitations such as without prior knowledge...
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Building an expert-system based conversational agent to provide personalised resources about neurological disorders
DownloadSpring 2022
Researchers developing artificially intelligent conversational agents (aka, chat- bots) seek effective ways to provide personal assistance to users with various needs. We have implemented a web-based conversational agent that recom- mends resources to help clients (caregivers of patients...