Machine Learning, Neural and Statistical Classification

Machine Learning, Neural and Statistical Classification

This free book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application.


This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems.

Table of Contents

  • Classification
  • Classical Statistical Methods
  • Modern Statistical Techniques
  • Machine Learning of Rules and Trees
  • Neural Networks
  • Methods for Comparison
  • Review of Previous Empirical Comparisons
  • Dataset Descriptions and Results
  • Analysis of Results
  • Conclusions
  • Knowledge Representation
  • Learning to Control Dynamical Systems

Book Details

Author(s): D. Michie, D.J. Spiegelhalter and C.C. Taylor
Format(s): PDF
File size: 1.79 MB
Number of pages: 298
Link: Download.

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