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
EC
economics
ES
ethics
HI
history
LJ
legislation & jurisprudence
ST
standards
SN
statistics & numerical data
SD
supply & distribution
TD
trends

G Phenomena and Processes
G17 Mathematical Concepts 66
G17.035 Algorithms 2 734
G17.035.250 Artificial Intelligence 509
G17.035.250.500 Machine Learning 189
G17.035.250.500.250 Deep Learning 67
G17.035.250.500.375 Dimensionality Reduction 1
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
G17.035.250.500.500 Supervised Machine Learning 12
G17.035.250.500.625 Transfer Machine Learning
G17.035.250.500.750 Unsupervised Machine Learning 6
G17.035.250.500.750.500 Autoencoder

L Information Science
L01 Information Science 166
L01.224 Computing Methodologies 159
L01.224.050 Algorithms 2 734
L01.224.050.375 Artificial Intelligence 509
L01.224.050.375.530 Machine Learning 189
L01.224.050.375.530.250 Deep Learning 67
L01.224.050.375.530.375 Dimensionality Reduction 1
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
L01.224.050.375.530.500 Supervised Machine Learning 12
L01.224.050.375.530.625 Transfer Machine Learning
L01.224.050.375.530.750 Unsupervised Machine Learning 6
L01.224.050.375.530.750.500 Autoencoder

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