PTML: Perturbation-Theory Machine Learning notes
Author(s) -
Humberto GonzálezDíaz
Publication year - 2018
Publication title -
proceedings of mol2net 2018, international conference on multidisciplinary sciences, 4th edition
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.3390/mol2net-04-05463
Subject(s) - artificial neural network , support vector machine , linear regression , perturbation (astronomy) , artificial intelligence , perturbation theory (quantum mechanics) , algorithm , mathematics , computer science , variance (accounting) , machine learning , physics , quantum mechanics , accounting , business
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