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Decision tree learning

Known as: Gini impurity, Regression tree, CART 
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
AdaBoostAffective computingAlternating decision treeBootstrap aggregating

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Real-time occupancy detection using decision trees with multiple sensor types
The ability to accurately determine localized building occupancy in real time enables several compelling applications, including… 
Highly Cited
2011
Highly Cited
2011
Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators
The rising global demand for energy is best addressed by adopting and promoting sustainable methods of power consumption. We… 
Highly Cited
2006
Highly Cited
2006
Improving generalized regression analysis for the spatial prediction of forest communities
Aim  This study used data from temperate forest communities to assess: (1) five different stepwise selection methods with… 
Highly Cited
2005
Highly Cited
2005
A Comparative Study of Medical Data Classification Methods Based on Decision Tree and System Reconstruction Analysis
This paper studies medical data classification methods, comparing decision tree and system reconstruction analysis as applied to… 
Highly Cited
2003
Highly Cited
2003
Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization
Highly Cited
2003
Highly Cited
2003
Development of a Regional Stock–Recruitment Model for Understanding Factors Affecting Walleye Recruitment in Northern Wisconsin Lakes
Abstract We used data from 162 lakes in northern Wisconsin during 1990–1999 to develop a stock–recruitment model for walleye… 
Highly Cited
1997
Highly Cited
1997
IES/sup 3/: a fast integral equation solver for efficient 3-dimensional extraction
Integral equation techniques are often used to extract models of integrated circuit structures. This extraction involves solving… 
Highly Cited
1997
Highly Cited
1997
Functional Models for Regression Tree Leaves
This paper presents a study about functional models for regression tree leaves. We evaluate experimentally several alternatives… 
Highly Cited
1997
Highly Cited
1997
Word and acoustic confidence annotation for large vocabulary speech recognition
  • L. Chase
  • EUROSPEECH
  • 1997
  • Corpus ID: 16174154
We present improvements in confidence annotation of automatic speech recognizer output for large vocabulary, speak erindependent… 
Highly Cited
1992
Highly Cited
1992
Employing Linear Regression in Regression Tree Leaves
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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