Learning with Partially Labeled and Interdependent Data

• Main Authors: Amini, Massih-Reza (Author), Usunier, Nicolas (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Subjects: 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...

Table of Contents:

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