• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to secondary navigation
  • Skip to primary sidebar

OnlineProgrammingBooks.com

Legally Free Computer Books

  • All Categories
  • All Books
  • All Categories
  • All Books
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact
You are here: Home ▶ AI and Robotics ▶ Machine Learning, Neural and Statistical Classification

Machine Learning, Neural and Statistical Classification

March 24, 2006

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.

Book Description

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

Download Free PDF / Read Online

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.

Similar Books:

  1. Machine Learning
  2. Neural Networks
  3. Introduction to Machine Learning
  4. Type Classification
  5. Theory and Novel Applications of Machine Learning
Previous Post: « Multiprocessor Scheduling, Theory and Applications
Next Post: Medical Robotics »

Primary Sidebar

Get Latest Updates

  • Facebook
  • Pinterest
  • RSS
  • Twitter
  • YouTube
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact

Copyright © 2006–2025 OnlineProgrammingBooks.com