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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 2024
Pattern recognition aims to differentiate patterns and regularities across diverse data types. Pattern recognition can identify unfamiliar objects, localize objects from various perspectives or resolutions, and infer patterns even when they are partially occluded. The ubiquity of sensors in...
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Fall 2023
Curiosity appears to motivate and guide effective learning in humans, which has led to high hopes in the machine learning community for machine analogues of curiosity. While a variety of machine curiosity algorithms have been introduced, they are rarely compared with other existing curiosity...
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Spreadsheets for Legal Reasoning: The Continued Promise of Declarative Logic Programming in Law
DownloadFall 2020
The legal services market is one in which there is too much demand, and too little supply. One method of increasing supply in a market is to increase efficiency by automating. Automated legal services require the automation of legal reasoning. Declarative logic programming (DLP) has long been...
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Fall 2016
Big data applications demand and consequently lead to developments of diverse scalable data management systems, ranging from NoSQL systems to the emerging NewSQL systems. In order to serve thousands of applications and their huge amounts of data, data management systems must be capable of...
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Spring 2024
In reinforcement learning, the notion of state plays a central role. A reinforcement learning agent requires the state to evaluate its current situation, select actions, and construct a model of the environment. In the classic setting, it is assumed that the environment provides the agent with...