Meta-Learning in Computational Intelligence (Paperback) (ISBN-13: 9783642268588)

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.