Quasi-Deterministic Processes with Monotonic Trajectories and Unsupervised Machine Learning
Quasi-Deterministic Processes with Monotonic Trajectories and Unsupervised Machine Learning
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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This paper aims to consider approximation-estimation tests for decision-making by machine-learning methods, and integral-estimation tests are defined, which is a generalization for the continuous case. Approximation-estimation tests are measurable sampling functions (statistics) that estimate the approximation error of monotonically increasing numb...
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Quasi-Deterministic Processes with Monotonic Trajectories and Unsupervised Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_7b0a6c122c5d4c93a55f74d139cd8066
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7b0a6c122c5d4c93a55f74d139cd8066
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math9182301
