COPYRIGHT YEAR

2017

AUTHORS

George A. Tsihrintzis, Dionisios N. Sotiropoulos

TYPE

Monograph

TITLE

Machine Learning Paradigms

DESCRIPTION

Presents recent machine-learning methodologies based on artificial immune systemsProvides experimental justification about the validity of artificial immune systems as an alternative machine learning paradigmIncludes an extensive review of the state of the art of machine learning

PUBLISHER

Springer International Publishing

BOOK (manifestation)

  • Book: 978-3-319-47192-1 (Book)
  • Book: 978-3-319-47194-5 (eBook)

  • How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

    Download the RDF metadata as:   json-ld nt turtle xml License info


    21 TRIPLES      18 PREDICATES      22 URIs      13 LITERALS

    Subject Predicate Object
    1 book-editions:ea0278652b285f0c4b86b1ee11f24278 sg:bookType Monograph
    2 sg:chapterCount 9
    3 sg:copyrightHolder Springer International Publishing AG
    4 sg:copyrightYear 2017
    5 sg:ddsId 266100
    6 sg:description <p>Presents recent machine-learning methodologies based on artificial immune systems</p><p>Provides experimental justification about the validity of artificial immune systems as an alternative machine learning paradigm</p><p>Includes an extensive review of the state of the art of machine learning</p>
    7 sg:editionNumber 1
    8 sg:hasContributingOrganization grid-institutes:grid.4463.5
    9 sg:hasContribution contributions:3047d8210c18a3fa4b5c8df72516a911
    10 contributions:60ee566c24bf5cb8dcd2a50b6d57bdea
    11 sg:hasProductMarketCode product-market-codes:I21017
    12 product-market-codes:T
    13 product-market-codes:T11014
    14 sg:language En
    15 sg:license http://scigraph.springernature.com/explorer/license/
    16 sg:publisher Springer International Publishing
    17 sg:scigraphId ea0278652b285f0c4b86b1ee11f24278
    18 sg:subtitle Artificial Immune Systems and their Applications in Software Personalization
    19 sg:title Machine Learning Paradigms
    20 rdf:type sg:BookEdition
    21 rdfs:label BookEdition: Machine Learning Paradigms
    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular JSON format for linked data.

    curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/book-editions/ea0278652b285f0c4b86b1ee11f24278'

    N-Triples is a line-based linked data format ideal for batch operations .

    curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/book-editions/ea0278652b285f0c4b86b1ee11f24278'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/book-editions/ea0278652b285f0c4b86b1ee11f24278'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/book-editions/ea0278652b285f0c4b86b1ee11f24278'






    Preview window. Press ESC to close (or click here)


    ...