Quasi-Deterministic Processes with Monotonic Trajectories and Unsupervised Machine Learning

Quasi-Deterministic Processes with Monotonic Trajectories and Unsupervised Machine Learning

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 ap...

Full description

Bibliographic Details
Main Author: Andrey V. Orekhov
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Mathematics
Subjects:
quasi-deterministic process
unsupervised machine learning
Markov decision process
approximation-estimation test
integral-estimation test
Markov moment
Online Access:https://www.mdpi.com/2227-7390/9/18/2301

Internet

https://www.mdpi.com/2227-7390/9/18/2301

Similar Items