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- 74Machine Learning
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On Policy Decisions of Polymorphic Inline Caches in Dynamically-Typed Language Implementations
DownloadFall 2023
Dynamically-typed languages running on Virtual Machines (VMs) are commonly used, but the lack of explicit type information poses a challenge to producing efficient code. In general, without type annotations, it is impossible to statically infer an object's type to determine which methods to...
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Fall 2012
Selecting appropriate rehabilitation treatments for injured workers has been a challenging task for clinicians and health care funders. Currently, clinicians are unable to identify the optimal treatment for a patient with absolute confidence and are looking for assistance from other research...
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Spring 2024
In machine learning, sparse neural networks provide higher computational efficiency and in some cases, can perform just as well as fully-connected networks. In the online and incremental reinforcement learning (RL) problem, Prediction Adapted Networks (Martin and Modayil, 2021) is an algorithm...