Sequential minimal optimization for support vector machine with feature selection in breast cancer diagnosis
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[1] William Nick Street,et al. Breast Cancer Diagnosis and Prognosis Via Linear Programming , 1995, Oper. Res..
[2] J. Ross Quinlan,et al. Improved Use of Continuous Attributes in C4.5 , 1996, J. Artif. Intell. Res..
[3] Mehmet Fatih Akay,et al. Support vector machines combined with feature selection for breast cancer diagnosis , 2009, Expert Syst. Appl..
[4] Ferenc Szeifert,et al. Supervised fuzzy clustering for the identification of fuzzy classifiers , 2003, Pattern Recognit. Lett..
[5] K. Bennett,et al. A support vector machine approach to decision trees , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[6] Rudy Setiono,et al. Generating concise and accurate classification rules for breast cancer diagnosis , 2000, Artif. Intell. Medicine.
[7] Moshe Sipper,et al. A fuzzy-genetic approach to breast cancer diagnosis , 1999, Artif. Intell. Medicine.
[8] Kemal Polat,et al. Breast cancer diagnosis using least square support vector machine , 2007, Digit. Signal Process..
[9] M. Cevdet Ince,et al. An expert system for detection of breast cancer based on association rules and neural network , 2009, Expert Syst. Appl..
[10] Chih-Jen Lin,et al. Combining SVMs with Various Feature Selection Strategies , 2006, Feature Extraction.
[11] Dr. M. G. Worster. Methods of Mathematical Physics , 1947, Nature.
[12] Rudolf Kruse,et al. Obtaining interpretable fuzzy classification rules from medical data , 1999, Artif. Intell. Medicine.
[13] Domenico Conforti,et al. Kernel based support vector machine via semidefinite programming: Application to medical diagnosis , 2010, Comput. Oper. Res..
[14] C. Goose,et al. Glossary of Terms , 2004, Machine Learning.
[15] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[16] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[17] Robert G. Harrison,et al. Detecting false benign in breast cancer diagnosis , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[18] John C. Platt. Using Analytic QP and Sparseness to Speed Training of Support Vector Machines , 1998, NIPS.
[19] A.A. Albrecht,et al. Two applications of the LSA machine , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..