Representation Machine Learning [representation learning]

topical
Terms

feature learning

 

Representation Learning, Machine

Persistent link   https://www.medvik.cz/link/D000098409
Definition

A class of machine learning approaches that allow a system to discover the representations required for feature detection or classification from raw data. The requirement for manual feature engineering is reduced by allowing a machine to learn the features and apply them to a given activity.

DUI
D000098409 MeSH Browser
CUI
M000766620
Previous indexing
Machine Learning (2016-2024)
History note
2025
Public note
2025

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 2 697
G17.035.250 Artificial Intelligence 394
G17.035.250.500 Machine Learning 148
G17.035.250.500.250 Deep Learning 51
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
G17.035.250.500.500 Supervised Machine Learning 12
G17.035.250.500.625 Transfer Machine Learning
G17.035.250.500.750 Unsupervised Machine Learning 6

L Information Science
L01 Information Science 166
L01.224 Computing Methodologies 159
L01.224.050 Algorithms 2 697
L01.224.050.375 Artificial Intelligence 394
L01.224.050.375.530 Machine Learning 148
L01.224.050.375.530.250 Deep Learning 51
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
L01.224.050.375.530.500 Supervised Machine Learning 12
L01.224.050.375.530.625 Transfer Machine Learning
L01.224.050.375.530.750 Unsupervised Machine Learning 6

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