Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press 8/25/2022, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
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Añadir al carritoPaperback or Softback. Condición: New. Bayesian Methods for Interaction and Design. Book.
Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press CUP, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
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Publicado por Cambridge University Press, Cambridge, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. Paperback. Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press 2022-07, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
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Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
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Publicado por Cambridge University Press, Cambridge, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
Idioma: Inglés
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Añadir al carritoHardcover. Condición: new. Hardcover. Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 130,99
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Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 103,54
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users.
Publicado por Cambridge University Press, 2022
ISBN 10: 110883499X ISBN 13: 9781108834995
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 195,71
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users.
Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 400 pages. 9.00x6.00x0.77 inches. In Stock. This item is printed on demand.
Publicado por Cambridge University Press, Cambridge, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
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Añadir al carritoPaperback. Condición: new. Paperback. Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 52,17
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging .
Publicado por Cambridge University Press, Cambridge, 2022
ISBN 10: 1108792707 ISBN 13: 9781108792707
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 75,60
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Añadir al carritoPaperback. Condición: new. Paperback. Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users. Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces Bayesian modelling and shows how it can be brought to bear in interaction design applications ranging from improving pointing-based interfaces to modelling the cognitive processes of users. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.