Cover Image
Read Now

Emerging Paradigms in Machine Learning

This  book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The  multidisciplinary nature of machine learning makes it a very fascinating and popular area for research.  The book is aiming at...

Full description

Bibliographic Details
Other Authors: Ramanna, Sheela (Editor), Jain, Lakhmi C. (Editor), Howlett, Robert J. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013, 2013
Edition:1st ed. 2013
Series:Smart Innovation, Systems and Technologies
Subjects:
Computational Intelligence
Artificial Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

Similar Items