Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision Support
暂无分享,去创建一个
[1] S. Sathiya Keerthi,et al. Evaluation of simple performance measures for tuning SVM hyperparameters , 2003, Neurocomputing.
[2] S. Sathiya Keerthi,et al. Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms , 2002, IEEE Trans. Neural Networks.
[3] N. Lavrac,et al. Intelligent Data Analysis in Medicine and Pharmacology , 1997 .
[4] Nello Cristianini,et al. An introduction to Support Vector Machines , 2000 .
[5] John Shawe-Taylor,et al. Optimizing Classifers for Imbalanced Training Sets , 1998, NIPS.
[6] Ching Y. Suen,et al. Empirical error based optimization of SVM kernels: application to digit image recognition , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.
[7] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.
[8] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[9] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[10] Sayan Mukherjee,et al. Choosing Multiple Parameters for Support Vector Machines , 2002, Machine Learning.
[11] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[12] P. Francioli,et al. Nosocomial infections in Swiss university hospitals: a multi-centre survey and review of the published experience. Swiss-Noso Network. , 1999, Schweizerische medizinische Wochenschrift.
[13] Thorsten Joachims,et al. Estimating the Generalization Performance of an SVM Efficiently , 2000, ICML.
[14] R. Fletcher. Practical Methods of Optimization , 1988 .
[15] Nello Cristianini,et al. Controlling the Sensitivity of Support Vector Machines , 1999 .