Web: http://arxiv.org/abs/2201.10257

Jan. 26, 2022, 2:11 a.m. | Patrick Ruediger, Felix Claus, Viktor Leonhardt, Hans Hagen, Jan C. Aurich, Christoph Garth

cs.LG updates on arXiv.org arxiv.org

We present PREVIS, a visual analytics tool, enhancing machine learning
performance analysis in engineering applications. The presented toolchain
allows for a direct comparison of regression models. In addition, we provide a
methodology to visualize the impact of regression errors on the underlying
field of interest in the original domain, the part geometry, via exploiting
standard interpolation methods. Further, we allow a real-time preview of
user-driven parameter changes in the displacement field via visual
interpolation. This allows for fast and accountable …

arxiv engineering interactive learning machine machine learning

More from arxiv.org / cs.LG updates on arXiv.org

Data Engineer, Buy with Prime

@ Amazon.com | Santa Monica, California, USA

Data Architect – Public Sector Health Data Architect, WWPS

@ Amazon.com | US, VA, Virtual Location - Virginia

[Job 8224] Data Engineer - Developer Senior

@ CI&T | Brazil

Software Engineer, Machine Learning, Planner/Behavior Prediction

@ Nuro, Inc. | Mountain View, California (HQ)

Lead Data Scientist

@ Inspectorio | Ho Chi Minh City, Ho Chi Minh City, Vietnam - Remote

Data Engineer

@ Craftable | Portugal - Remote