TAXONOMY

Nature Subjects Taxonomy

CONCEPT NAME

Machine learning

DESCRIPTION

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

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26 TRIPLES      13 PREDICATES      26 URIs      17 LITERALS

Subject Predicate Object
1 subjects:machine-learning dcterms:modified 2017-10-09T07:39:43+00:00
2 sg:license http://scigraph.springernature.com/explorer/license/
3 rdf:type npg:Subject
4 sg:Subject
5 skos:Concept
6 rdfs:label Machine learning
7 skos:altLabel AI (Artificial Intelligence)
8 AIs (Artificial Intelligence)
9 Artificial Intelligence
10 Computer Reasoning
11 Computer Vision System
12 Computer Vision Systems
13 Knowledge Acquisition (Computer)
14 Knowledge Acquisitions (Computer)
15 Knowledge Representation (Computer)
16 Knowledge Representations (Computer)
17 Machine Intelligence
18 skos:broader subjects:computational-biology-and-bioinformatics
19 skos:closeMatch dbpedia:Machine_learning
20 mesh:D001185
21 skos:definition Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.
22 skos:hiddenLabel machine-learning
23 skos:historyNote [skos:definition - 2014.01.21] The study and implementation of techniques and methods for designing computer systems to perform functions normally associated with human intelligence, such as understanding language, learning, reasoning, problem solving, etc.
24 skos:inScheme subjects:
25 skos:notation machine-learning
26 skos:prefLabel Machine learning
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