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

by

Write The First Customer Review

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 overview of the methods and the key assumptions that allow for adaptation to different models and real world applications. The models are highly attractive due to their compactness and comprehensibility but learning their structure is ...

Boosted Statistical Relational Learners: From Benchmarks to Data-Driven Medicine 2015, Springer

ISBN-13: 9783319136431

2014 edition

Trade paperback

Select