Unsupervised Machine Learning [strojové učení bez učitele]
topical
6
Persistent link
https://www.medvik.cz/link/D000069558
Definition
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.
- DUI
- D000069558 MeSH Browser
- CUI
- M000606094
- History note
- 2016
- Public note
- 2016
Allowable subheadings
- CL
- classification 0
- EC
- economics 0
- ES
- ethics 0
- HI
- history 0
- LJ
- legislation & jurisprudence 0
- ST
- standards 0
- SN
- statistics & numerical data 0
- SD
- supply & distribution 0
- TD
- trends 0
...
Occurrences in Medvik records
G
Phenomena and Processes
G17.035.250.500.375
Dimensionality Reduction
G17.035.250.500.438
Ensemble Learning
G17.035.250.500.469
Federated Learning
G17.035.250.500.485
Reinforcement Machine Learning
G17.035.250.500.493
Representation Machine Learning
G17.035.250.500.625
Transfer Machine Learning
G17.035.250.500.750.500
Autoencoder
L
Information Science
L01.224.050.375.530.375
Dimensionality Reduction
L01.224.050.375.530.438
Ensemble Learning
L01.224.050.375.530.469
Federated Learning
L01.224.050.375.530.485
Reinforcement Machine Learning
L01.224.050.375.530.493
Representation Machine Learning
L01.224.050.375.530.625
Transfer Machine Learning
L01.224.050.375.530.750.500
Autoencoder