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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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Related topics

Related topics

50 relations
Amiga productivity softwareAssociation rule learningBehavior modelBias–variance tradeoff

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Classifying eye and head movement artifacts in EEG signals
Brain Computer Interfaces has some exciting prospects such as controlling devices at the speed of thought. However BCI technology… 
Highly Cited
2008
Highly Cited
2008
A Case-Based Reasoning Approach to Imitating RoboCup Players
We describe an effort to train a RoboCup soccer-playing agent playing in the Simulation League using casebased reasoning. The… 
Highly Cited
2007
Highly Cited
2007
Figure-ground segmentation using a hierarchical conditional random field
We propose an approach to the problem of detecting and segmenting generic object classes that combines three "off the shelf… 
Highly Cited
2006
Highly Cited
2006
Vegetation and topographical correlates of fire severity from two fires in the Klamath-Siskiyou region of Oregon and California
We used vegetation data collected in areas before they were burned by the 2500 ha Quartz fire in southern Oregon and the 50 600… 
Highly Cited
2006
Highly Cited
2006
Improving rule sorting, predictive accuracy and training time in associative classification
Highly Cited
2005
Highly Cited
2005
Mining changes in association rules: a fuzzy approach
Highly Cited
2003
Highly Cited
2003
Distributed learning with bagging-like performance
Highly Cited
2002
Highly Cited
2002
Landscape patterns as habitat predictors: building and testing models for cavity-nesting birds in the Uinta Mountains of Utah, USA
The ability to predict species occurrences quickly is often crucial for managers and conservation biologists with limited time… 
Highly Cited
2001
Highly Cited
2001
Data mining criteria for tree-based regression and classification
This paper is concerned with the construction of regression and classification trees that are more adapted to data mining… 
Highly Cited
1992
Highly Cited
1992
Algorithms for Identifying Relevant Features
This paper describes eecient methods for exact and approximate implementation of the MIN-FEATURES bias, which prefers consistent… 
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