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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.
2011
2011
Predicting weather events using fuzzy rule based system
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… 
2007
2007
Learning Log Explorer in E-Learning Diagnosis
This study presents a learning behavior diagnosis system to study students' learning status from learning portfolios. The… 
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… 
Review
2003
Review
2003
Classification of Emotions in Internet Chat: An Application of Machine Learning Using Speech Phonemes
This article reports our progress in the classification of expressions of emotion in network-based chat conversations. Emotion… 
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
1997
Highly Cited
1997
Word-based confidence measures as a guide for stack search in speech recognition
The maximum a posteriori hypothesis is treated as the decoded truth in speech recognition. However, since the word recognition… 
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