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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 2Rabbany khorasgani, Reihaneh
- 2Sacharuk, Edward, 1948-
- 2Sharifi, AmirAli
- 54Machine Learning
- 48Reinforcement Learning
- 37Artificial Intelligence
- 31Machine learning
- 20Image processing. Digital techniques.
- 18Artificial intelligence
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Feature Generalization in Deep Reinforcement Learning: An Investigation into Representation Properties
DownloadFall 2022
In this thesis, we investigate the connection between the properties and the generalization performance of representations learned by deep reinforcement learning algorithms. Much of the earlier work on representation learning for reinforcement learning focused on designing fixed-basis...
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Fall 2022
Text summarization aims to generate a short summary for an input text and has extensive real-world applications such as headline generation. State-of-the-art summarization models are mainly supervised; they require large labeled training corpora and thus cannot be applied to less popular areas,...
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V-CoHOG: Volumetric Co-occurrence Histograms of Oriented Gradients for Texture Classification in Medical Imaging
DownloadFall 2022
Image textures, which are properties that can describe the pixel intensities of an image, have been analyzed in order to perform a variety of tasks, including segmentation and classification. Features derived from textures which are invariant to changes such as contrast and transformations are of...
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Fall 2022
Cardiovascular diseases are the leading cause of death globally, causing nearly 17.9 million deaths per year. Early detection and treatment are critical for improving this situation. Today's wearable medical devices are becoming popular because of their price and ease of use. Many manufacturers...
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Fall 2022
Gutierrez Gutierrez, Candelario A.
Social media platforms are online public venues where conversations about a wide range of public interests take place. Users can interact within a social platform in two ways: (i) they can post an opinion, talk about an event, or share a personal status, optionally accompanied with a video, an...
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Fall 2022
Machine learning has been used to solve single-agent search problems. One of its applications is to guide search algorithms by learning heuristics. However, it is difficult to provide guarantees on the quality of learning from a neural network, since the resulting heuristics can be inadmissible,...
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Revisiting the Theory and Practice of Bidirectional and Suboptimal Heuristic Search Algorithms
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Heuristic Search is a general problem-solving method widely used in artificial intelligence (AI). This thesis presents contributions to heuristic search, including contributions to bidirectional optimal search and unidirectional suboptimal search. For bidirectional optimal search, this thesis...
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Fall 2022
Some real-world deployments of deep reinforcement learning (RL) may require a human-in-the-loop. Whether to ask-for-help, obtain new demonstrations and data, or handle out-of-distribution states, many methods rely on uncertainty estimates from a neural network to determine when to solicit a...
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An Interactive 3D Visualization Tool to Analyze the Functionality of Convolutional Neural Networks
DownloadFall 2022
Convolutional Neural Networks have outperformed traditional image processing approaches for many image classification tasks. However, despite achieving high classification accuracy on multiple datasets, these machine learning approaches are not transparent and act more like a black box. For this...
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Fall 2022
Modern representation learning methods perform well on offline tasks and primarily revolve around batch updates. However, batch updates preclude those methods from focusing on new experience, which is essential for fast online adaptation. In this thesis, we study an online and incremental...