Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 20,00
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Aggiungi al carrelloXXV, 206 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 857. Sprache: Englisch.
Condizione: New.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 92,79
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 92,78
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 101,78
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 106,33
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 122,04
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 303030521X ISBN 13: 9783030305215
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 125,32
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Aggiungi al carrelloPaperback. Condizione: New. 2020 ed.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,52
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Da: Speedyhen, Hertfordshire, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 115,51
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. XXV, 206 68 illus., 57 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
Condizione: New. pp. XXV, 206 68 illus., 57 illus. in color. 2020th edition NO-PA16APR2015-KAP.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 128,49
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 303030521X ISBN 13: 9783030305215
Da: moluna, Greven, Germania
EUR 106,22
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Aggiungi al carrelloCondizione: New. Focuses on two aspects of musical intelligence: music recommendation and human-agent interaction in the context of music Covers topics such as the design of better music playlist recommendation algorithms and algorithms .
Da: Revaluation Books, Exeter, Regno Unito
EUR 151,44
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Aggiungi al carrelloPaperback. Condizione: Brand New. 232 pages. 9.25x6.10x0.55 inches. In Stock.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 303030518X ISBN 13: 9783030305185
Da: Revaluation Books, Exeter, Regno Unito
EUR 153,42
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Aggiungi al carrelloHardcover. Condizione: Brand New. 206 pages. 9.25x6.25x0.75 inches. In Stock.
Da: preigu, Osnabrück, Germania
EUR 95,15
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Sequential Decision-Making in Musical Intelligence | Elad Liebman | Taschenbuch | xxv | Englisch | 2020 | Springer | EAN 9783030305215 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 303030521X ISBN 13: 9783030305215
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music.Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music.One key aspect that hasn'tbeen sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 303030518X ISBN 13: 9783030305185
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music.Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music.One key aspect that hasn'tbeen sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 164,54
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 164,54
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 303030521X ISBN 13: 9783030305215
Da: Rarewaves.com UK, London, Regno Unito
EUR 118,47
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 2020 ed.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Revaluation Books, Exeter, Regno Unito
EUR 118,05
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 232 pages. 9.25x6.10x0.55 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Springer International Publishing Okt 2019, 2019
ISBN 10: 303030518X ISBN 13: 9783030305185
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music.Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music.One key aspect that hasn't been sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective. 232 pp. Englisch.