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» Improving Stability of Decision Trees
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ACL
2003
13 years 11 months ago
An Evaluation Method of Words Tendency using Decision Tree
In every text, some words have frequency appearance and are considered as keywords because they have strong relationship with the subjects of their texts, these words frequencies ...
El-Sayed Atlam, Masaki Oono, Jun-Ichi Aoe
PRICAI
2000
Springer
14 years 1 months ago
The Lumberjack Algorithm for Learning Linked Decision Forests
While the decision tree is an effective representation that has been used in many domains, a tree can often encode a concept inefficiently. This happens when the tree has to repres...
William T. B. Uther, Manuela M. Veloso
PAMI
1998
127views more  PAMI 1998»
13 years 9 months ago
The Random Subspace Method for Constructing Decision Forests
—Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is ...
Tin Kam Ho
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 8 months ago
Fast Self-Stabilizing Minimum Spanning Tree Construction
We present a novel self-stabilizing algorithm for minimum spanning tree (MST) construction. The space complexity of our solution is O(log2 n) bits and it converges in O(n2 ) round...
Lélia Blin, Shlomi Dolev, Maria Potop-Butuc...
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...