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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
Jukka 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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2007
2007
Incorporating Uncertainty via Hierarchical Classification Using Fuzzy Decision Trees
Danil E. van de 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
Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation
M. Bursa
,
L. Lhotská
,
M. Macaš
International Conference on Health Information…
2007
Corpus ID: 18991192
In many industry and research areas, data mining is a crucial process. This paper presents an evolving structure of classifiers…
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2006
2006
Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming
Amaury Hazan
,
Rafael 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
T. 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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1997
1997
Transformation smoothing for speaker and environmental adaptation
M. Gales
EUROSPEECH
1997
Corpus ID: 969074
Recently there has been much work done on how to transform HMMs, trained typically in a speaker-independent fashion on clean…
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1996
1996
IMPROVED LOCAL DISCRIMINANT BASES USING EMPIRICAL PROBABILITY DENSITY ESTIMATION
Naoki 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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