New metric formulas that include measurement errors in machine learning for natural sciences

Author:

Michelucci UmbertoORCID,Venturini FrancescaORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. Deep k-NN for noisy labels;Bahri,2020

2. Not Normal: the uncertainties of scientific measurements;Bailey;Royal Society Open Science,2017

3. Jet substructure classification in high-energy physics with deep neural networks;Baldi;Physical Review D,2016

4. Machine learning and the physical sciences;Carleo;Reviews of Modern Physics,2019

5. TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests;Carrasco Kind;Monthly Notices of the Royal Astronomical Society,2013

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