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ACL
1996
15 years 1 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
ECML
2004
Springer
15 years 5 months ago
Sensitivity Analysis of the Result in Binary Decision Trees
This paper 3 proposes a new method to qualify the result given by a decision tree when it is used as a decision aid system. When the data are numerical, we compute the distance of ...
Isabelle Alvarez
ISVLSI
2003
IEEE
97views VLSI» more  ISVLSI 2003»
15 years 5 months ago
Q-Tree: A New Iterative Improvement Approach for Buffered Interconnect Optimization
The “chicken-egg” dilemma between VLSI interconnect timing optimization and delay calculation suggests an iterative approach. We separate interconnect timing transformation as...
Andrew B. Kahng, Bao Liu
84
Voted
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
15 years 5 months ago
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches
There has been increasing number of independently proposed randomization methods in different stages of decision tree construction to build multiple trees. Randomized decision tre...
Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Y...
AAAI
2004
15 years 1 months ago
On the Optimality of Probability Estimation by Random Decision Trees
Random decision tree is an ensemble of decision trees. The feature at any node of a tree in the ensemble is chosen randomly from remaining features. A chosen discrete feature on a...
Wei Fan