COPYRIGHT YEAR

2014

AUTHORS

Cynthia L. Johnson

TITLE

Context and Machine Learning

ABSTRACT

Machine learning is an ongoing research area in computing with multiple approaches and algorithms. Almost all machine learning is considered in the context of some application. However, most do not consider contextual features during the learning process. In this chapter, machine learning algorithms that are context-sensitive are reviewed. For this chapter, context-sensitive machine learning is defined as learning algorithms that use contextual features during the learning process. Several examples of context-sensitive machine learning algorithms are reviewed. However, the bulk of the chapter reviews context-sensitive applications designed to learn by observation of another entity. The machine learning approaches and algorithms in this chapter are related to, but not directly in the area of context-aware applications and middleware.

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BOOK EDITION

  • Context in Computing
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    19 TRIPLES      19 PREDICATES      20 URIs      12 LITERALS

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    1 book-chapters:9d31856f70747639f94cc932f75ceb1a sg:abstract Abstract Machine learning is an ongoing research area in computing with multiple approaches and algorithms. Almost all machine learning is considered in the context of some application. However, most do not consider contextual features during the learning process. In this chapter, machine learning algorithms that are context-sensitive are reviewed. For this chapter, context-sensitive machine learning is defined as learning algorithms that use contextual features during the learning process. Several examples of context-sensitive machine learning algorithms are reviewed. However, the bulk of the chapter reviews context-sensitive applications designed to learn by observation of another entity. The machine learning approaches and algorithms in this chapter are related to, but not directly in the area of context-aware applications and middleware.
    2 sg:chapterNumber 8
    3 sg:copyrightHolder Springer Science+Business Media New York
    4 sg:copyrightYear 2014
    5 sg:ddsId Chap8
    6 sg:doi 10.1007/978-1-4939-1887-4_8
    7 sg:hasBook books:0ef4bba41ca37eca0fc93c4d0f54b292
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    10 sg:hasContribution contributions:6bb7d2429d294c9a62afa0b87fb75bee
    11 sg:language En
    12 sg:license http://scigraph.springernature.com/explorer/license/
    13 sg:pageFirst 113
    14 sg:pageLast 126
    15 sg:scigraphId 9d31856f70747639f94cc932f75ceb1a
    16 sg:title Context and Machine Learning
    17 sg:webpage https://link.springer.com/10.1007/978-1-4939-1887-4_8
    18 rdf:type sg:BookChapter
    19 rdfs:label BookChapter: Context and Machine Learning
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