Information gain in decision trees

Known as: Gain 
In information theory and machine learning, information gain is a synonym for Kullback–Leibler divergence. However, in the context of decision trees… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations… (More)
  • table 1
  • figure 2
  • table 2
  • table 3
Is this relevant?
2014
2014
As competitive environment is prevailing among the academic institutions, challenge is to increase the quality of education… (More)
  • figure 1
  • table II
  • table III
  • table IV
  • table V
Is this relevant?
Highly Cited
2013
Highly Cited
2013
Tumor classification based on gene expression levels is important for tumor diagnosis. Since tumor data in gene expression… (More)
  • table 1
  • table 4
  • table 2
  • table 4
  • table 5
Is this relevant?
2012
2012
Ensembles of classification and regression trees remain popular machine learning methods because they define flexible… (More)
  • figure 1
  • table 1
  • table 2
Is this relevant?
2009
2009
This paper presents the results of classifying Arabic text documents using a decision tree algorithm. Experiments are performed… (More)
  • figure 2
  • table 2
  • table 1
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
2004
Highly Cited
2004
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel… (More)
  • table 1
  • table 2
  • figure 1
  • table 3
  • figure 2
Is this relevant?
2004
2004
Decision trees are a popular form of classification models. It is well known that classical trees lack the ability of modelling… (More)
  • table II
  • table III
  • table IV
  • table V
  • table VI
Is this relevant?
Highly Cited
2003
Highly Cited
2003
High dimensionality of text can be a deterrent in applying co mplex learners such as Support Vector Machines to the task of text… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
1991
Highly Cited
1991
This note introduces a new attribute selection measure for ID3-like inductive algorithms. This measure is based on a distance… (More)
  • table 1
  • table 3
Is this relevant?
Highly Cited
1991
Highly Cited
1991
Algorithms for learning classification trees have had successes in artificial intelligence and statistics over many years. This… (More)
Is this relevant?