Compression methods for approximate stochastic modelling
Understanding of the natural world can be accounted to effective information processing. Natural processes, however, are often riddled with enormous amount of information and high non-linearity. A need to simplify these problems becomes paramount for practical purposes. Computational mechanics has c...
Main Author: | Onggadinata, Kelvin |
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Other Authors: | Gu Mile |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/139314 |
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