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Full-Text Articles in Physical Sciences and Mathematics
Practical Ai Value Alignment Using Stories, Md Sultan Al Nahian
Practical Ai Value Alignment Using Stories, Md Sultan Al Nahian
Theses and Dissertations--Computer Science
As more machine learning agents interact with humans, it is increasingly a prospect that an agent trained to perform a task optimally - using only a measure of task performance as feedback--can violate societal norms for acceptable behavior or cause harm. Consequently, it becomes necessary to prioritize task performance and ensure that AI actions do not have detrimental effects. Value alignment is a property of intelligent agents, wherein they solely pursue goals and activities that are non-harmful and beneficial to humans. Current approaches to value alignment largely depend on imitation learning or learning from demonstration methods. However, the dynamic nature …
Multi-Stream Longitudinal Data Analysis Using Deep Learning, Sajjad Fouladvand
Multi-Stream Longitudinal Data Analysis Using Deep Learning, Sajjad Fouladvand
Theses and Dissertations--Computer Science
Longitudinal healthcare data encompasses all tasks where patients information are collected at multiple follow-up times. Analyzing this data is critical in addressing many real world problems in healthcare such as disease prediction and prevention. In this thesis, technical challenges in analyzing longitudinal administrative claims data are addressed and novel deep learning based models are proposed for multi-stream data analysis and disease prediction tasks. These algorithms and frameworks are assessed mainly on substance use disorders prediction tasks and specifically designed to tackled these disorders. Substance use disorder is a public health crisis costing the US an estimated $740 billion annually in …