使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。-Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is above 95 can be regarded as an i

Program author: Susan C. Hagness Department of Electrical and Computer Engineering University of Wisconsin-Madison 1415 Engineering Drive Madison, WI 53706-1691 608-265-5739 - Program author: Susan C. Hagness

Lagrangian Support Vector Machine，拉格朗日支持向量机。*搬来，出自WISCONSIN大学。-Lagrangian Support Vector Machine

关于威斯康星乳腺癌数据的分类程序，直接可用。需要打标。(The classification procedure for breast cancer data in Wisconsin is directly available. You need to make a bid.)