TAXONOMY

Nature Subjects Taxonomy

CONCEPT NAME

Learning algorithms

DESCRIPTION

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between the actual and desired output. These algorithms are typically concerned with representation and generalization of the input data.

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14 TRIPLES      12 PREDICATES      14 URIs      6 LITERALS

Subject Predicate Object
1 subjects:learning-algorithms dcterms:modified 2017-10-09T07:40:09+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 Learning algorithms
7 skos:broader subjects:computational-neuroscience
8 skos:closeMatch dbpedia:Learning_algorithms
9 skos:definition A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between the actual and desired output. These algorithms are typically concerned with representation and generalization of the input data.
10 skos:hiddenLabel learning-algorithms
11 skos:historyNote [skos:definition - 2014.01.21] Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases.
12 skos:inScheme subjects:
13 skos:notation learning-algorithms
14 skos:prefLabel Learning algorithms
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