Leveraging open science machine learning challenges for data constrained planetary mission instrumen...
Leveraging open science machine learning challenges for data constrained planetary mission instruments
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Publisher
London: Oxford University Press
Journal title
Language
English
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Publication information
Publisher
London: Oxford University Press
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Scope and Contents
Contents
We set up two open-science machine learning (ML) challenges focusing on building models to automatically analyse mass spectrometry (MS) data for Mars exploration. ML challenges provide an excellent way to engage a diverse set of experts with benchmark training data, explore a wide range of ML and data science approaches, and identify promising mode...
Alternative Titles
Full title
Leveraging open science machine learning challenges for data constrained planetary mission instruments
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Record Identifier
TN_cdi_proquest_journals_3191364229
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3191364229
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ISSN
2752-8200
E-ISSN
2752-8200
DOI
10.1093/rasti/rzae009
