Contents

• Missing Values in Nonlinear Factor Analysis
• Introduction
  • Definition of the Missing Values
• Supervised Self-Organising Map
• Linear and Nonlinear Factor Analysis
  • Model structure
  • Ensemble Learning
  • The Missing Values
  • Initialisation
• Experiments
  • Experiment settings
  • Implementation
  • Performance with the speech data
  • Performance with the Boston data
• Discussion
• Conclusions
• Acknowledgements
• Bibliography
• Some Changes in the Matlab Code
  • bpinit.m
  • nanpca.m
  • sumnan.m
  • covnan.m
  • feedback.m
  • estimatevars.m
  • kl_batch.m