COPYRIGHT YEAR

2014

AUTHORS

Yong Liu, Xin Yao

TITLE

Machine Learning

ABSTRACT

Machine learning is a very active sub-field of artificial intelligence concerned with the development of computational models of learning. Machine learning is inspired by the work in several disciplines: cognitive sciences, computer science, statistics, computational complexity, information theory, control theory, philosophy and biology. Simply speaking, machine learning is learning by machine. From a computational point of view, machine learning refers to the ability of a machine to improve its performance based on previous results. From a biological point of view, machine learning is the study of how to create computers that will learn from experience and modify their activity based on that learning as opposed to traditional computers whose activity will not change unless the programmer explicitly changes it.

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    21 TRIPLES      19 PREDICATES      22 URIs      12 LITERALS

    Subject Predicate Object
    1 book-chapters:2e6f1e58fa03ad3546765d441c63a56a sg:abstract Abstract Machine learning is a very active sub-field of artificial intelligence concerned with the development of computational models of learning. Machine learning is inspired by the work in several disciplines: cognitive sciences, computer science, statistics, computational complexity, information theory, control theory, philosophy and biology. Simply speaking, machine learning is learning by machine. From a computational point of view, machine learning refers to the ability of a machine to improve its performance based on previous results. From a biological point of view, machine learning is the study of how to create computers that will learn from experience and modify their activity based on that learning as opposed to traditional computers whose activity will not change unless the programmer explicitly changes it.
    2 sg:chapterNumber Chapter 17
    3 sg:copyrightHolder Springer Science+Business Media New York
    4 sg:copyrightYear 2014
    5 sg:ddsId b978-1-4614-6940-7_17
    6 sg:doi 10.1007/978-1-4614-6940-7_17
    7 sg:hasBook books:7c4ed63f5a3f5026780c157eca15e81c
    8 sg:hasBookEdition book-editions:09437cd873b94454799fd064de2fe023
    9 sg:hasContributingOrganization grid-institutes:grid.265880.1
    10 grid-institutes:grid.6572.6
    11 sg:hasContribution contributions:512bed599e090eb4865a550226126f5c
    12 contributions:9cae62c53f4393c2da87e8aa6eae4b54
    13 sg:language En
    14 sg:license http://scigraph.springernature.com/explorer/license/
    15 sg:pageFirst 477
    16 sg:pageLast 517
    17 sg:scigraphId 2e6f1e58fa03ad3546765d441c63a56a
    18 sg:title Machine Learning
    19 sg:webpage https://link.springer.com/10.1007/978-1-4614-6940-7_17
    20 rdf:type sg:BookChapter
    21 rdfs:label BookChapter: Machine Learning
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