Multiple Instance Learning: Foundations and Algorithms

by Rafael Bello, Francisco Herrera, Danel Sanchez-Tarrago, et al.

Book Overview

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 most relevant proposals are specified. Efficient algorithms are developed to discover relevant information when working with uncertainty. Key representative...

• Format: Paperback
• Language: English
• ISBN: 3319838156
• ISBN13: 9783319838151
• Release Date: June 2018
• Publisher: Springer
• Length: 233 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"