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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
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...
PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
14 years 1 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
ICRA
2005
IEEE
120views Robotics» more  ICRA 2005»
14 years 1 months ago
Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy
— A number of advanced sampling strategies have been proposed in recent years to address the narrow passage problem for probabilistic roadmap (PRM) planning. These sampling strat...
David Hsu, Gildardo Sánchez-Ante, Zheng Sun
AAAI
2007
13 years 10 months ago
Cost-Sensitive Imputing Missing Values with Ordering
Various approaches for dealing with missing data have been developed so far. In this paper, two strategies are proposed for cost-sensitive iterative imputing missing values with o...
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi...