Hybrid Cost-Sensitive Decision Tree
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[1] Kai Ming Ting,et al. Inducing Cost-Sensitive Trees via Instance Weighting , 1998, PKDD.
[2] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[3] Ron Kohavi,et al. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid , 1996, KDD.
[4] Peter D. Turney. Types of Cost in Inductive Concept Learning , 2002, ArXiv.
[5] Pedro M. Domingos. MetaCost: a general method for making classifiers cost-sensitive , 1999, KDD '99.
[6] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[7] Qiang Yang,et al. Test-cost sensitive naive Bayes classification , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[8] Qiang Yang,et al. Decision trees with minimal costs , 2004, ICML.
[9] Charles Elkan,et al. The Foundations of Cost-Sensitive Learning , 2001, IJCAI.
[10] Thomas G. Dietterich,et al. Pruning Improves Heuristic Search for Cost-Sensitive Learning , 2002, ICML.
[11] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[12] Nitesh V. Chawla,et al. SPECIAL ISSUE ON LEARNING FROM IMBALANCED DATA SETS , 2004 .
[13] Nitesh V. Chawla,et al. Editorial: special issue on learning from imbalanced data sets , 2004, SKDD.
[14] Peter D. Turney. Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm , 1994, J. Artif. Intell. Res..
[15] Andrew McCallum,et al. Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data , 2004, J. Mach. Learn. Res..
[16] Ming Tan,et al. Cost-sensitive learning of classification knowledge and its applications in robotics , 2004, Machine Learning.