Multiple Instance Learning Foundations and Algorithms /

• Main Authors: Herrera, Francisco (Author), Ventura, Sebastián (Author), Bello, Rafael (Author), Cornelis, Chris (Author), Zafra, Amelia (Author), Sánchez-Tarragó, Dánel (Author), Vluymans, Sarah (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Subjects: Computer science.; Algorithms.; Artificial intelligence.; Image processing.; Computer Science.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.; Algorithm Analysis and Problem Complexity.

This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the...