Search for tag: "hyperparameter"
A Physics-Informed Deep Learning Investigation of Wind-Wave Interactions, Vassiliki Mancoridis, UG '24 (2986906)Turbulence modeling can shed light on the physics that occurs at the boundary between ocean waves and overhead wind, which is useful in the fields of oceanography, renewable energy, weather…
From Research Princeton Research Day
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CITP Seminar- Pranay Anchuri - Insights into Predictability of Life Outcomes- A Data-Driven ApproachPredicting life outcomes is a challenging task even for advanced machine learning (ML) algorithms. At the same time, accurately predicting these outcomes has important implications in providing…
From CI Center for Information Technology Policy
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Unifying Caching Objectives with Learning Relaxed BeladyCaching is crucial to the end-to-end performance of distributed systems. By storing content that is commonly requested so that it can be served faster, this technique can improve request latency and…
From Research Princeton Research Day
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Unifying Caching Objectives with Learning Relaxed BeladyCaching is crucial to the end-to-end performance of distributed systems. By storing content that is commonly requested so that it can be served faster, this technique can improve request latency and…
From Research Princeton Research Day
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The Path to Safe Fusion Energy through Deep LearningSan Diego Supercomputer Center Published on May 15, 2019 When the plasma inside a fusion reactor becomes unstable, there can be a release of energy that seriously damages the reactor. Key to…
From Chris Cane
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