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

• Κύριοι συγγραφείς: Natarajan, Sriraam (Συγγραφέας), Kersting, Kristian (Συγγραφέας), Khot, Tushar (Συγγραφέας), Shavlik, Jude (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.