Multiple Instance Learning: Foundations and Algorithms
Author:   Francisco Herrera ,  Sebastian Ventura ,  Rafael Bello ,  Chris Cornelis
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319477589


Pages:   233
Publication Date:   17 November 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Multiple Instance Learning: Foundations and Algorithms


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Author:   Francisco Herrera ,  Sebastian Ventura ,  Rafael Bello ,  Chris Cornelis
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.541kg
ISBN:  

9783319477589


ISBN 10:   3319477587
Pages:   233
Publication Date:   17 November 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Multiple Instance Learning.- Multi-Instance Classification.- Instance-Based Classification Methods.- Bag-Based Classification Methods.- Multi-Instance Regression.- Unsupervised Multiple Instance Learning.- Data Reduction.- Imbalance Multi-Instance Data.- Multiple Instance Multiple Label Learning.

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