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» Decision Trees for Functional Variables
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AAAI
2004
13 years 9 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
INTERSPEECH
2010
13 years 2 months ago
Modeling pronunciation variation with context-dependent articulatory feature decision trees
We consider the problem of predicting the surface pronunciations of a word in conversational speech, using a model of pronunciation variation based on articulatory features. We bu...
Sam Bowman, Karen Livescu
ISMB
1996
13 years 8 months ago
Finding Genes in DNA Using Decision Trees and Dynamic Programming
This study demonstratesthe use of decision tree classifiers as the basis for a general gene-finding system. The system uses a dynamic programmingalgorithm that. finds the optimal ...
Steven Salzberg, Xin Chen, John Henderson, Kenneth...
ISMVL
2003
IEEE
80views Hardware» more  ISMVL 2003»
14 years 24 days ago
Augmented Sifting of Multiple-Valued Decision Diagrams
Discrete functions are now commonly represented by binary (BDD) and multiple-valued (MDD) decision diagrams. Sifting is an effective heuristic technique which applies adjacent var...
D. Michael Miller, Rolf Drechsler
ISMVL
2003
IEEE
85views Hardware» more  ISMVL 2003»
14 years 24 days ago
On the Average Path Length in Decision Diagrams of Multiple-Valued Functions
We consider the path length in decision diagrams for multiple-valued functions. This is an important measure of a decision diagram, since this models the time needed to evaluate t...
Jon T. Butler, Tsutomu Sasao