Predicting Structured Data

by Golchan Bakir, Thomas Hofmann, Bernhard Schölkopf

Book Overview

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies...

• Format: Paperback
• Language: English
• ISBN: 0262528045
• ISBN13: 9780262528047
• Release Date: July 2007
• Publisher: MIT Press
• Length: 362 Pages
• Weight: 1.58 lbs.
• Dimensions: 0.8" x 8.0" x 10.0"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher