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PRICAI
2000
Springer
14 years 6 days 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 8 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
PPSN
2004
Springer
14 years 2 months ago
Detecting and Pruning Introns for Faster Decision Tree Evolution
We show how the understandability and speed of genetic programming classification algorithms can be improved, without affecting the classification accuracy. By analyzing the dec...
Jeroen Eggermont, Joost N. Kok, Walter A. Kosters
AIMSA
2000
Springer
14 years 7 days ago
Classification with Belief Decision Trees
Abstract. Decision trees are considered as an efficient technique to express classification knowledge and to use it. However, their most standard algorithms do not deal with uncert...
Zied Elouedi, Khaled Mellouli, Philippe Smets
ACL
1996
13 years 10 months ago
Compilation of Weighted Finite-State Transducers from Decision Trees
We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree predictions specify how to rewrite symbols from an...
Richard Sproat, Michael Riley