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Decision tree

Known as: Probability tree, Decision graph, Decision-tree 
A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event… 
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations… 
Highly Cited
2008
Highly Cited
2008
Hierarchical multi-label classification (HMC) is a variant of classification where instances may belong to multiple classes at… 
Highly Cited
2004
Highly Cited
2004
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in… 
Highly Cited
2004
Highly Cited
2004
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in… 
Highly Cited
2004
Highly Cited
2004
  • P. Utgoff
  • Machine Learning
  • 2004
  • Corpus ID: 5293072
This article presents an incremental algorithm for inducing decision trees equivalent to those formed by Quinlan's nonincremental… 
Highly Cited
1996
Highly Cited
1996
Naive-Bayes induction algorithms were previously shown to be surprisingly accurate on many classification tasks even when the… 
Highly Cited
1994
Highly Cited
1994
In this paper, a new probabilistic tagging method is presented which avoids problems that Markov Model based taggers face, when… 
Highly Cited
1994
Highly Cited
1994
This article describes a new system for induction of oblique decision trees. This system, OC1, combines deterministic hill… 
Review
1991
Review
1991
A survey is presented of current methods for decision tree classifier (DTC) designs and the various existing issues. After… 
Highly Cited
1987
Highly Cited
1987
Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees…