Properly learning decision trees in almost polynomial time
Author:
Affiliation:
1. Stanford University,Stanford,USA
2. MIT,Cambridge,USA
Funder
DOE
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9719594/9719683/09719693.pdf?arnumber=9719693
Reference31 articles.
1. Sharp phase transition for the random-cluster and Potts models via decision trees
2. Agnostically learning decision trees
3. Learning decision lists
4. Rank-r decision trees are a subclass of r-decision lists
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