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About Survey On Lie Group Machine Learning
This document provides a survey of Lie group machine learning techniques. It introduces Lie group machine learning in three categories: supervised, semisupervised, and unsupervised. Techniques discussed include Lie group machine learning models, Lie group subspace orbit generation learning, symplectic group learning, quantum group learning, and others. The survey aims to provide an overview of the state-of-the-art in Lie group machine learning and help researchers understand the field and identify directions for future work.
Detailed Information
| Author: | ['Lucas Fiordelisi'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 24 |
| Language: | English |
| Format: | |
| Price: | FREE |
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