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ICML
2000
IEEE
14 years 10 months ago
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...
Chris Drummond, Robert C. Holte
IDA
2000
Springer
13 years 9 months ago
Induction of decision trees in numeric domains using set-valued attributes
Conventional algorithms for decision tree induction use an attribute-value representation scheme for instances. This paper explores the empirical consequences of using set-valued ...
Dimitrios Kalles, Athanassios Papagelis, Eirini Nt...
ECAI
2006
Springer
14 years 1 months ago
Ensembles of Grafted Trees
Grafted trees are trees that are constructed using two methods. The first method creates an initial tree, while the second method is used to complete the tree. In this work, the fi...
Juan José Rodríguez, Jesús Ma...
ICASSP
2009
IEEE
14 years 4 months ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero
FLAIRS
2001
13 years 11 months ago
Decision Tree Rule Reduction Using Linear Classifiers in Multilayer Perceptron
It hasbeenshownthat a neuralnetworkis better thana direct applicationof inductiontrees in modelingcomplex relations of inputattributes in sampledata. We proposethat conciserules b...
DaeEun Kim, Sea Woo Kim