Overfitting Avoidance as Bias

Machine Learning

Volumn 10, Issue 2, 1993, Pages 153-178

  Schaffer, Cullen ^a  

^a CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

decision tree pruning; inductive bias; Overfitting avoidance

Indexed keywords

EID: 0001259758     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1023/A:1022653209073     Document Type: Article

References (20)

1. Minimum complexity density estimation
2. Occam's razor
3. On estimating probabilities in tree pruning
4. Expert systems-rule induction with statistical data
5. An empirical comparison of pruning methods for decision tree induction
6. Learning decision rules in noisy domains
7. On the connection between the complexity and credibility of inferred models
8. The effect of noise on concept learning
9. Simplifying decision trees
10. Inferring decision trees using the minimum description length principle
11. Deconstructing the digit recognition problem
12. Sparse data and the effect of overfitting avoidance in decision tree induction
13. When does overfitting decrease prediction accuracy in induced decision trees and rule sets?
14. A theory of the learnable
15. Reduced complexity rule induction