Meta-Learning in Computational Intelligence

Book Overview

Universal meta-learning

architecture and algorithms.-

Meta-learning of instance

selection for data

summarization.-

Choosing the metric: a simple

model approach.-

Meta-learning Architectures:

Collecting, Organizing and

Exploiting Meta-knowledge.-

Computational intelligence for

meta-learning: a promising

avenue of research.-

Self-organization of supervised

models.-

Selecting Machine Learning

Algorithms Using the Ranking

Meta-Learning Approach.-

A Meta-Model Perspective and

Attribute Grammar Approach to

Facilitating the Development of

Novel Neural Network Models.-

Ontology-Based Meta-Mining

of Knowledge Discovery

Workflows.-

Optimal Support Features for

Meta-learning.

• Format: Paperback
• Language: English
• ISBN: 3642268587
• ISBN13: 9783642268588
• Release Date: August 2013
• Publisher: Springer
• Length: 359 Pages
• Weight: 1.18 lbs.
• Dimensions: 0.8" x 6.2" x 9.2"