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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.
Highly Cited
2010
Highly Cited
2010
Filter, Rank, and Transfer the Knowledge: Learning to Chat
Sina Jafarpour
2010
Corpus ID: 12985528
Learning to chat is a fascinating machine learning task with many applications from user-modeling to artificial intelligence…
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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
,
Yalou 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
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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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
2001
2001
Exploratory Analysis of Spatial Data Using Interactive Maps and Data Mining
N. Andrienko
,
G. Andrienko
,
Alexandr A. Savinov
,
H. Voß
,
D. Wettschereck
2001
Corpus ID: 51855572
We present new methods for analyzing geo-referenced statistical data. These methods combine visualization and direct manipulation…
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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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1999
1999
Snowpack factors associated with strength changes of buried surface hoar layers
B. Jamieson
,
Colin Johnston
1999
Corpus ID: 54054938
1998
1998
Classification -based method in optimal image interpolation
C. B. Atkins
1998
Corpus ID: 118686766
Atkins, C. Brian. Ph.D., Purdue University, December 1998. Classification-Based Methods in Optimal Image Interpolation. Major…
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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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