Boosted Statistical Relational Learners From Benchmarks to Data-Driven Medicine /

• Main Authors: Natarajan, Sriraam (Author), Kersting, Kristian (Author), Khot, Tushar (Author), Shavlik, Jude (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Health informatics.; Data mining.; Artificial intelligence.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Statistical Theory and Methods.; Data Mining and Knowledge Discovery.; Health Informatics.

This SpringerBrief addresses the challenges of analyzing multi-relational and noisy data by proposing several Statistical Relational Learning (SRL) methods. These methods combine the expressiveness of first-order logic and the ability of probability theory to handle uncertainty. It provides an overv...

Table of Contents:

• Introduction
• Statistical Relational Learning
• Boosting (Bi-)Directed Relational Models
• Boosting Undirected Relational Models
• Boosting in the presence of missing data
• Boosting Statistical Relational Learning in Action
• Appendix: Booster System.