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A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence (Synthesis Lectures on Computer Vision)

Unknown Author
4.9/5 (10180 ratings)
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.                  We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence (Synthesis Lectures on Computer Vision). To get started finding A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence (Synthesis Lectures on Computer Vision), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
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ISBN
3031330544

A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence (Synthesis Lectures on Computer Vision)

Unknown Author
4.4/5 (1290744 ratings)
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.                  We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence (Synthesis Lectures on Computer Vision). To get started finding A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence (Synthesis Lectures on Computer Vision), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
3031330544
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