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» The Foundations of Cost-Sensitive Learning
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AAAI
2006
13 years 9 months ago
Cost-Sensitive Test Strategies
In medical diagnosis doctors must often determine what medical tests (e.g., X-ray, blood tests) should be ordered for a patient to minimize the total cost of medical tests and mis...
Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao...
ECML
2005
Springer
14 years 1 months ago
Simple Test Strategies for Cost-Sensitive Decision Trees
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
Shengli Sheng, Charles X. Ling, Qiang Yang
ICML
1999
IEEE
14 years 8 months ago
AdaCost: Misclassification Cost-Sensitive Boosting
AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip...
AAAI
2010
13 years 9 months ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
ISI
2006
Springer
13 years 7 months ago
Cost-Sensitive Access Control for Illegitimate Confidential Access by Insiders
Abstract. In many organizations, it is common to control access to confidential information based on the need-to-know principle; The requests for access are authorized only if the ...
Young-Woo Seo, Katia P. Sycara