Searching for "Reducing Misclassification Costs." – sorted by Relevance.
22 documents found, showing 1 through 10.
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Optimizing Abstaining Classifiers using ROC Analysis
- … that refrain from classification in certain cases can significantly reduce the misclassification cost. However…
- Cited by 4 (1 self) – Add To MetaCart
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Cost-guided Class Noise Handling for Effective Cost-sensitive Learning
- …, and by adopting the proposed CICF algorithm, we can significantly reduce the misclassification cost of a CS…
- Cited by 3 (1 self) – Add To MetaCart
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AdaCost: misclassification cost-sensitive boosting
- … boosting rounds. The purpose is to reduce the cumulative misclassification cost more than AdaBoost. We…
- Cited by 53 (2 self) – Add To MetaCart
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Hybrid Cost-sensitive Decision Tree
- … diagnose or predict the disease of the patient (i.e., reducing the misclassification cost). Doctors must…
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Feature value acquisition in testing: A sequential batch test algorithm
- … prediction on patient’s disease (reducing misclassification cost). Feature Value Acquisition in Testing: A…
- Cited by 4 (0 self) – Add To MetaCart
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Boosting Trees for Cost-Sensitive Classifications
- …, it is natural to think that boosting might also reduce the misclassification costs of C4.5c. In this paper, we…
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Boosting Trees for Cost-Sensitive Classifications
- …). Thus, it is natural to think that boosting might also reduce the misclassification costs of C4.5c…
- Cited by 8 (1 self) – Add To MetaCart
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Test-cost sensitive naive bayes classification
- … the missing value with a cost, and thus reducing the misclassification cost and the total cost. Inductive…
- Cited by 3 (1 self) – Add To MetaCart
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Searching for Dependencies in Bayesian Classifiers
- … the misclassification cost of learning algorithms and show that the Bayesian classifier performs well at reducing…
- Cited by 54 (4 self) – Add To MetaCart
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Goal-Directed Classification using Linear Machine Decision Trees
- … with the explicit goal of reducing the total misclassification cost of the errors. Section 3.1.1 describes…
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