Searching for ""Missing Is Useful' Missing Values in Cost-Sensitive Decision Trees." – sorted by Relevance.
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Missing is Useful: Missing Values in Cost-Sensitive Decision Trees
- is Useful”: Missing Values in Cost-Sensitive Decision Trees Shichao Zhang, Senior Member, IEEE, Zhenxing Qin
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The Foundations of Cost-Sensitive Learning
- training set in order to make optimal cost-sensitive classification decisions using a classifier learned
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Hybrid Cost-sensitive Decision Tree
- of decision tree. But in cost-sensitive learning, any value is available with a certain cost. We do not want
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Test Strategies for Cost-Sensitive Decision Trees
- Simple Test Strategies for Cost-Sensitive Decision Trees Shengli Sheng 1 , Charles X. Ling 1
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Cost-Sensitive Specialization
- ] decision tree induction system that supports cost-sensitive specialization. 2 Cost sensitive specialization
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Boosting Cost-Sensitive Trees
- in decision tree learning for boosting (Quinlan, 1996) and for effective cost-sensitive tree induction (Ting
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Cost-Sensitive Fault Remediation for Autonomic Computing
- describe this one because it strikes a balance between power and simplicity. The decisions made by a cost-sensitive
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Cost-sensitive Parsimonious Linear Regression
- Cost-sensitive Parsimonious Linear Regression Robby Goetschalckx Kurt Driessens Katholieke
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Evaluating Cost-Sensitive Unsolicited Bulk Email Categorization
- ROC curves are plotted, which is in turn dependent on the method used to make a ML algorithm cost-sensitive
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Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm
- Cost-sensitive feature reduction applied to a hybrid genetic algorithm Nada Lavrac 1 , Dragan
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