Chapter 1 Universal Meta-Learning Architecture and Algorithms

Chapter 2 Meta-Learning of Instance Selection for Data Summarization

Chapter 3 Choosing the Metric: A Simple Model Approach

Chapter 4 Meta-Learning Architectures: Collecting, Organizing and Exploiting Meta-Knowledge

Chapter 5 Computational Intelligence for Meta-Learning: A Promising Avenue of Research

Chapter 6 Self-organization of Supervised Models

Chapter 7 Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach

Chapter 8 A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models

Chapter 10 Optimal Support Features for Meta-Learning