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Decision tree learning
Known as:
Gini impurity
, Regression tree
, CART
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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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Related topics
Related topics
50 relations
AdaBoost
Affective computing
Alternating decision tree
Bootstrap aggregating
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Multi-attribute ecological river typology for assessing ecological condition and conservation planning
E. Turak
,
K. Koop
Hydrobiologia
2008
Corpus ID: 35821568
A river classification framework is needed to make good management and planning decisions about river health and biodiversity. We…
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Review
2008
Review
2008
Predicting habitat suitability for the endemic mountain nyala (Tragelaphus buxtoni) in Ethiopia
P. Evangelista
,
J. Norman
,
Lakew Berhanu
,
Sunil Kumar
,
Nathaniel Alley
2008
Corpus ID: 15090641
The use of statistical models to predict species distributions and suitable habitat has become an essential tool for wildlife…
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2008
2008
Physical Factors Control Phytoplankton Production and Nitrogen Fixation in Eight Texas Reservoirs
Margaret G. Forbes
,
R. Doyle
,
J. Scott
,
J. Stanley
,
Hui-Hsueh Huang
,
B. Brooks
Ecosystems
2008
Corpus ID: 20263181
We compared regression tree analyses and multiple linear regression models to explore the relative importance of physical factors…
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Review
2006
Review
2006
Cultivated Helianthus annuus (Asteraceae) volunteers as a genetic “bridge” to weedy sunflower populations in North America
Michael Reagon
,
A. Snow
2006
Corpus ID: 36269955
In many crops, unharvested seeds can create populations of volunteer plants that increase opportunities for crop-to-wild gene…
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Highly Cited
2005
Highly Cited
2005
A Comparative Study of Medical Data Classification Methods Based on Decision Tree and System Reconstruction Analysis
Tzung-I Tang
,
Gang Zheng
,
Ya Lou Huang
,
Guangfu Shu
,
Peng Wang
2005
Corpus ID: 3232089
This paper studies medical data classification methods, comparing decision tree and system reconstruction analysis as applied to…
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Highly Cited
2005
Highly Cited
2005
Wavelet-based texture classification of tissues in computed tomography
Lindsay Semler
,
L. Dettori
,
J. Furst
Computer-Based Medical Systems
2005
Corpus ID: 1436939
The research presented in this article is aimed at developing an automated imaging system for classification of tissues in…
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2003
2003
On the quest for easy-to-understand splitting rules
Fernando Berzal Galiano
,
J. Cubero
,
F. Cuenca
,
M. Martín-Bautista
Data & Knowledge Engineering
2003
Corpus ID: 6193915
Review
2001
Review
2001
DECISION TREES FOR CLASSIFICATION: A REVIEW AND SOME NEW RESULTS
R. Kothari
,
Ming Dong
2001
Corpus ID: 16064572
1996
1996
Compilation of Weighted Finite-State Transducers from Decision Trees
R. Sproat
,
M. Riley
Annual Meeting of the Association for…
1996
Corpus ID: 3265939
We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree…
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Highly Cited
1992
Highly Cited
1992
Employing Linear Regression in Regression Tree Leaves
Aram Karalic
European Conference on Artificial Intelligence
1992
Corpus ID: 8867598
The advantage of using linear regression in the leaves of a regression tree is analysed in the paper. It is carried out how this…
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