Robotics & Machine Learning Daily News2024,Issue(Dec.10) :99-100.

Simula Research Laboratory Reports Findings in Machine Learning (AABBA Graph Ker nel: Atom-Atom, Bond-Bond, and Bond-Atom Autocorrelations for Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.10) :99-100.

Simula Research Laboratory Reports Findings in Machine Learning (AABBA Graph Ker nel: Atom-Atom, Bond-Bond, and Bond-Atom Autocorrelations for Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Oslo, Norway, by NewsRx journalists, research stated, “Graphs are one of the most naturaland powerful r epresentations available for molecules; natural because they have an intuitive c orrespondenceto skeletal formulas, the language used by chemists worldwide, and powerful, because they are highlyexpressive both globally (molecular topology) and locally (atom and bond properties). Graph kernels are used to transform mol ecular graphs into fixed-length vectors, which, based on their capacity of measu ringsimilarity, can be used as fingerprints for machine learning (ML).”

Key words

Oslo/Norway/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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