↓ Skip to main content
What is this page? Embed badge

Innovations in Machine Learning

Overview of attention for book
Innovations in Machine Learning
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Bayesian Approach to Causal Discovery
  3. Altmetric Badge
    Chapter 2 A Tutorial on Learning Causal Influence
  4. Altmetric Badge
    Chapter 3 Learning Based Programming
  5. Altmetric Badge
    Chapter 4 N-1 Experiments Suffice to Determine the Causal Relations Among N Variables
  6. Altmetric Badge
    Chapter 5 Support Vector Inductive Logic Programming
  7. Altmetric Badge
    Chapter 6 Neural Probabilistic Language Models
  8. Altmetric Badge
    Chapter 7 Computational Grammatical Inference
  9. Altmetric Badge
    Chapter 8 On Kernel Target Alignment
  10. Altmetric Badge
    Chapter 9 The Structure of Version Space
Attention for Chapter 9: The Structure of Version Space
Altmetric Badge
Summary
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
The Structure of Version Space
Chapter number 9
Book title
Innovations in Machine Learning
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/3-540-33486-6_9
Book ISBNs
978-3-54-030609-2, 978-3-54-033486-6
Authors

Ralf Herbrich, Thore Graepel, Robert C. Williamson

Editors

Professor Dawn E. Holmes, Professor Lakhmi C. Jain

View on publisher site
Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

This page is provided by Altmetric.