Learning with Partially Labeled and Interdependent Data

• Κύριοι συγγραφείς: Amini, Massih-Reza (Συγγραφέας), Usunier, Nicolas (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Θέματα: Computer science.; Data mining.; Artificial intelligence.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. The book traces how the...

Πίνακας περιεχομένων:

• Introduction
• Introduction to learning theory
• Semi-supervised learning
• Learning with interdependent data.