Ghost hunting in the nonlinear dynamic machine.
Integrating dynamic systems modeling and machine learning generates an exploratory nonlinear solution for analyzing dynamical systems-based data. Applying dynamical systems theory to the machine learning solution further provides a pathway to interpret the results. Using random forest models as an i...
Saved in:
| Main Authors: | Jonathan E Butner, Ascher K Munion, Brian R W Baucom, Alexander Wong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226572&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Ghost in the Machine: The Ethical Risks of AI
by: Emile Ormond
Published: (2020-03-01) -
Ghost in the Machine: Daily Interaction with Ephemeral Computing
by: Sofia Pirandello
Published: (2025-07-01) -
L’âme des machines dans The Ghost in the Shell
by: Bounthavy Suvilay
Published: (2017-11-01) -
Guests, ghosts and gofers
by: Peter R. Mason
Published: (2008-04-01) -
The Ghosts of Architecture
by: Hyun Jun Park, et al.
Published: (2025-04-01)