Keywords

Decision treeComputer scienceArtificial intelligenceMachine learning

Affiliated Institutions

Related Publications

Best-first Decision Tree Learning

Decision trees are potentially powerful predictors and explicitly represent the structure of a dataset. Standard decision tree learners such as C4.5 expand nodes in depth-first ...

2007 Research Commons (University of Waikato) 229 citations

Bagging, boosting, and C4.S

Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classifier learning systems. Both form a set of classifiers that ar...

1996 National Conference on Artificial Int... 1262 citations

Publication Info

Year
1995
Type
book-chapter
Pages
21-29
Citations
102
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

102
OpenAlex

Cite This

Peter Auer, Robert C. Holte, Wolfgang Maass (1995). Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. Elsevier eBooks , 21-29. https://doi.org/10.1016/b978-1-55860-377-6.50012-8

Identifiers

DOI
10.1016/b978-1-55860-377-6.50012-8