Learning with Partially Labeled and Interdependent Data

by Massih-Reza Amini and Nicolas Usunier

Book Overview

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 semi-supervised paradigm and the learning to rank paradigm emerged from new web applications, leading to a massive production of heterogeneous...

• Format: Paperback
• Language: English
• ISBN: 331935390X
• ISBN13: 9783319353906
• Release Date: October 2016
• Publisher: Springer
• Length: 106 Pages
• Weight: 0.40 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"