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Decision tree learning

Known as: Gini impurity, Regression tree, CART 
Decision tree learning uses a decision tree as a predictive model which maps observations about an item (represented in the branches) to conclusions… 
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Learning to chat is a fascinating machine learning task with many applications from user-modeling to artificial intelligence… 
Review
2008
Review
2008
The use of statistical models to predict species distributions and suitable habitat has become an essential tool for wildlife… 
Review
2006
Review
2006
In many crops, unharvested seeds can create populations of volunteer plants that increase opportunities for crop-to-wild gene… 
Highly Cited
2005
Highly Cited
2005
This paper studies medical data classification methods, comparing decision tree and system reconstruction analysis as applied to… 
Highly Cited
2005
Highly Cited
2005
The research presented in this article is aimed at developing an automated imaging system for classification of tissues in… 
2003
2003
We present a decision tree based approach to function approximation in reinforcement learning. We compare our approach with table… 
2001
2001
We present new methods for analyzing geo-referenced statistical data. These methods combine visualization and direct manipulation… 
1996
1996
We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree…