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Bello, Rafael

Multiple Instance Learning

Bello, Rafael - Multiple Instance Learning, ebook

153,75€

Ebook, PDF with Adobe DRM
ISBN: 9783319477596
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Table of contents

1. Introduction
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

2. Multiple Instance Learning
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

3. Multi-instance Classification
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

4. Instance-Based Classification Methods
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

5. Bag-Based Classification Methods
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

6. Multi-instance Regression
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

7. Unsupervised Multiple Instance Learning
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

8. Data Reduction
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

9. Imbalanced Multi-instance Data
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

10. Multiple Instance Multiple Label Learning
Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans

Keywords: Computer Science, Artificial Intelligence (incl. Robotics), Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity

Author(s)
 
 
 
 
 
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9783319477596
Printed ISBN
978-3-319-47758-9

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