Emerging Paradigms in Machine Learning

Book Overview

From the content: Emerging Paradigms in Machine Learning: An Introduction.- Extensions of Dynamic Programming as a New Tool for Decision Tree Optimization.- Optimised information abstraction in granular Min/Max clustering.- Mining Incomplete Data-A Rough Set Approach.- Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigation.

• Format: Paperback
• Language: English
• ISBN: 3642435742
• ISBN13: 9783642435744
• Release Date: August 2014
• Publisher: Springer
• Length: 498 Pages
• Weight: 1.59 lbs.
• Dimensions: 1.1" x 6.1" x 9.2"