9.10. Notes

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^[] Olvi L. Mangasarian, W. Nick Street, and William H. Wolberg, "Breast Cancer Diagnosis and Prognosis via Linear Programming," Mathematical Programming Technical Report 94–10 (December 19, 1994): 1–9.

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^[] For more detail on these characteristics, see W. Nick Street, William H. Wolberg, and Olvi L. Mangasarian, "Nuclear Feature Extraction for Breast Tumor Diagnosis," International Symposium on Electronic Imaging: Science and Technology 1905 (1993): 861–870.

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^[] Mangasarian, Street, and Wolberg, "Breast Cancer Diagnosis and Prognosis via Linear Programming"; and Trevor Hastie, Robert Tibshirani, and Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (New York, NY: Springer, 2001), 108–111, 371–389.

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^[] The validation and test sets are sometimes used in roles different from the ones we have described. We follow the convention proposed in: Christopher M. Bishop, Neural Networks for Pattern Recognition (New York, NY: Oxford University Press, 1995), 372; Trevor Hastie, Robert Tibshirani, and Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction (New York, NY: Springer, 2001), 196; and B. D. Ripley, Pattern Recognition and Neural Networks (New York, NY: Cambridge University Press, 1996), 3–8.

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^[] John P. Sall and Cathy Maahs-Fladung, "Trees, Neural Nets, PLS, I-Optimal Designs and Other New JMP® Version 5 Novelties," SUGI 27, http://www2.sas.com/proceedings/sugi27/p268-27.pdf (accessed July 31, 2009).

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^[] Warren S. McCulloch and Walter Pitts, "A Logical Calculus of the Ideas Immanent in Nervous Activity," Bulletin of Mathematical Biophysics 5 (1943): 115–133.

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^[] Michael J. A. Berry and Gordon Linoff, Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (New York, NY: John Wiley and Sons, Inc., 1997), 286–334; Trevor Hastie, Robert Tibshirani, and Jerome Friedman, The Elements of Statistical Learning, 347–369; Simon Haykin, Neural Networks: A Comprehensive Foundation, Second Edition (New York, NY: Prentice Hall, 1998); and Ripley, Pattern Recognition and Neural Networks, 143–180.