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» Decision Trees for Functional Variables
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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
INTERSPEECH
2010
14 years 6 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
15 years 1 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»
15 years 5 months 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»
15 years 5 months 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