9783319904023 - human and machine learning: visible, explainable, trustworthy and transparent (human–computer interaction series) (27 resultados)
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Editorial: Springer 2018-07-02, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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Hardcover. Condición: New.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Idioma: Inglés
Editorial: Springer International Publishing AG, Cham, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Hardcover. Condición: new. Hardcover. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of black-box in ML methods, ML still needs to be…interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 123,70
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Hardback. Condición: New. 2018 ed. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be i…nterpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Condición: NEW.
Idioma: Inglés
Editorial: Springer International Publishing Jun 2018, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. Neuware -With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of 'black-box' in ML methods, ML still needs to be inter…preted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction. 508 pp. Englisch.
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
- Tapa dura
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Hardback. Condición: New. 2018 ed. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be i…nterpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 125,70
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Condición: New.
Idioma: Inglés
Editorial: Springer International Publishing, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: moluna, Greven, Alemaniamoluna
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EUR 106,22
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Gebunden. Condición: New. Creates a systematic view of relations between human and machine learning from the perspectives of visualisation, explanation, trustworthiness and transparencyExplores human aspects in machine learning based on algorithms, human cognitive response.
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
- Tapa dura
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
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Hardback. Condición: New. 2018 ed. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be i…nterpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 482 pages. 9.25x6.25x1.25 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of 'black-bo…x' in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Idioma: Inglés
Editorial: Springer International Publishing AG, CH, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Hardback. Condición: New. 2018 ed. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be i…nterpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Hardcover. Condición: New. New. book.
Idioma: Inglés
Editorial: Springer International Publishing AG, Cham, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condición: new. Hardcover. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of black-box in ML methods, ML still needs to be…interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer-Verlag New York Inc, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 482 pages. 9.25x6.25x1.25 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: Springer, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: preigu, Osnabrück, Alemaniapreigu
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Buch. Condición: Neu. Human and Machine Learning | Visible, Explainable, Trustworthy and Transparent | Jianlong Zhou (u. a.) | Buch | Human-Computer Interaction Series | xxiii | Englisch | 2018 | Springer | EAN 9783319904023 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[d…ot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Idioma: Inglés
Editorial: Springer, Birkhäuser Jun 2018, 2018
Serie: Human–Computer Interaction, Libro 89 de 141. Libro 89 de 141 - Human–Computer Interaction
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature…of ¿black-box¿ in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 508 pp. Englisch.
