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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.
2017
2017
Analysing multilingual practices in Late Modern English: Parameter selection and recursive partitioning in focus
J. Tyrkkö
,
A. Nurmi
2017
Corpus ID: 195946259
Over the last ten years, historical linguists have paid increasing attention to multilingualism and multilingual practices…
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2012
2012
Köppen versus the computer: comparing Köppen-Geiger and multivariate regression tree climate classifications in terms of climate homogeneity
Alex J. Cannon
2012
Corpus ID: 54827059
A global climate classification is defined using a multivariate regression tree (MRT). The MRT algorithm is automated…
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2007
2007
Incorporating Uncertainty via Hierarchical Classification Using Fuzzy Decision Trees
D. V. D. Vlag
,
A. Stein
IEEE Transactions on Geoscience and Remote…
2007
Corpus ID: 31349258
Object hierarchy is often ignored when collecting and classifying geographical objects. Object attributes are defined on the…
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2007
2007
Web-based Heart Disease Decision Support System Using Data Mining Classification Modeling Techniques
S. Palaniappan
,
Rafiah Awang
International Conference on Information…
2007
Corpus ID: 1910844
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden…
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2007
2007
Using 250-meter spatial resolution MODIS data and regression tree modeling to map fractional land cover across the highlands of mainland Southeast Asia
Christian Töttrup
,
M. S. Rasmussen
,
L. Eklundh
,
P. Jönsson
2007
Corpus ID: 135399994
2006
2006
Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming
Amaury Hazan
,
R. Ramírez
,
Esteban Maestre
,
Alfonso Pérez
,
A. Pertusa
EvoWorkshops
2006
Corpus ID: 43199516
This paper presents a novel Strongly-Typed Genetic Programming approach for building Regression Trees in order to model…
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2004
2004
Wedgelet Enhanced Appearance Models
S. Darkner
,
R. Larsen
,
M. Stegmann
,
B. Ersbøll
Conference on Computer Vision and Pattern…
2004
Corpus ID: 15321002
Statistical region-based segmentation methods such as the Active Appearance Model (AAM) are used for establishing dense…
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2003
2003
Reinforcement Learning with Decision Trees
Larry D. Pyeatt
Applied Informatics
2003
Corpus ID: 9177125
We present a decision tree based approach to function approximation in reinforcement learning. We compare our approach with table…
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Highly Cited
1999
Highly Cited
1999
Pattern Discovery by Residual Analysis and Recursive Partitioning
Tom Chau
,
A. Wong
IEEE Transactions on Knowledge and Data…
1999
Corpus ID: 9306490
In this paper, a novel method of pattern discovery is proposed. It is based on the theoretical formulation of a contingency table…
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1996
1996
IMPROVED LOCAL DISCRIMINANT BASES USING EMPIRICAL PROBABILITY DENSITY ESTIMATION
N. Saito
,
R. Coifman
1996
Corpus ID: 8149551
Recently, the authors introduced the concept of the socalled Local Discriminant Basis (LDB) for signal and image classification…
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