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    A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence

    A Unifying Framework for Formal Theories of Novelty by Boult, Terrance; Scheirer, Walter;

    Discussions, Guidelines, and Examples for Artificial Intelligence

    Series: Synthesis Lectures on Computer Vision;

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      • Publisher's listprice EUR 42.79
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        18 151 Ft (17 287 Ft + 5% VAT)
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    18 151 Ft

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    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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    Product details:

    • Edition number 2024
    • Publisher Springer
    • Date of Publication 2 August 2023
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031330537
    • Binding Hardback
    • No. of pages110 pages
    • Size 240x168 mm
    • Weight 404 g
    • Language English
    • Illustrations 2 Illustrations, black & white; 33 Illustrations, color
    • 525

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    Short description:

    This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems.  Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems.  The book presents examples of using this framework to define and evaluate in multiple domains including  image recognition image-based open world learning,  hand-writing and author analysis,  CartPole Control,  Image Captioning, and Monopoly.  Chapters are written by well-known contributors to this new and emerging field.  In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games. 

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    Long description:

    This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems.  Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems.  The book presents examples of using this framework to define and evaluate in multiple domains including  image recognition image-based open world learning,  hand-writing and author analysis,  CartPole Control,  Image Captioning, and Monopoly.  Chapters are written by well-known contributors to this new and emerging field.  In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.  





                    

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    Table of Contents:

    A Unifying Framework for Novelty.- Example Application of Framework: CartPole Domain.- Image Classification.- Novelty in Handwriting Recognition.- Visual Media Caption Domain.- Monopoly Multi-Agent Game Domain.- Related Work.- Prior Perspectives on Novelty and Conclusions.

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    A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence

    A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence

    Boult, Terrance; Scheirer, Walter; (ed.)

    18 151 HUF

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