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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
2013
Highly Cited
2013
Supporting swift reaction: Automatically uncovering performance problems by systematic experiments
Performance problems pose a significant risk to software vendors. If left undetected, they can lead to lost customers, increased… 
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
Using machine learning for non-intrusive modeling and prediction of software aging
The wide-spread phenomenon of software (running image) aging is known to cause performance degradation, transient failures or… 
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
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
2004
Highly Cited
2004
Genetic Programming with Gradient Descent Search for Multiclass Object Classification
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification… 
Highly Cited
2003
Highly Cited
2003
The application of case based reasoning to decision support in new product development
This paper describes the application of case based reasoning (CBR) to decision support for design managers and engineers during… 
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
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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