Topological data analysis and machine learning
10.1080/23746149.2023.2202331
Saved in:
Main Authors: | Daniel Leykam, Dimitris Angelakis |
---|---|
Other Authors: | CENTRE FOR QUANTUM TECHNOLOGIES |
Format: | Review |
Published: |
Taylor & Francis
2023
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/245985 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Photonic band structure design using persistent homology
by: Leykam, Daniel, et al.
Published: (2022) -
Topological Machine Learning for Mixed Numeric and Categorical Data.
by: Wu, Chengyuan, et al.
Published: (2021) -
Edge Solitons in Nonlinear-Photonic Topological Insulators
by: Leykam, Daniel, et al.
Published: (2017) -
Nonlinear topological photonics
by: Smirnova, Daria, et al.
Published: (2021) -
PHYSICS VS MACHINE LEARNING: TOPOLOGICAL CLASSIFICATION WITH MACHINE LEARNING & ENHANCED MACHINE LEARNING WITH QUANTUM PROPERTIES
by: MA NANNAN
Published: (2023)