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 2 likes 70 plays

CITP Seminar- Pranay Anchuri - Insights into Predictability of Life Outcomes- A Data-Driven Approach

Predicting 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 0 likes 7 plays

Unifying Caching Objectives with Learning Relaxed Belady

Caching 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 0 likes 7 plays

Unifying Caching Objectives with Learning Relaxed Belady

Caching 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 0 likes 30 plays

The Path to Safe Fusion Energy through Deep Learning

San 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 0 likes 23 plays