Pattern Recognition Peking University Courseware (including Bayesian model, the nearest neighbor, SVM, linear and non-linear classifiers, boosting, statistical learning, unsupervised learning, etc.)

模式识别课件更新\一、导论2013.pdf
................\三、概率密度估计2013.pdf
................\九、SVM-2013.pdf
................\二、Bayes决策理论2013.pdf
................\五、线性判别函数-2013.pdf
................\八、统计学习理论简介-2013.pdf
................\六、人工神经网络简介-2013.pdf
................\十、核方法-2013.pdf
................\十一、基于树的识别方法-2013.pdf
................\十三、特征选择与变换-2013.pdf
................\十二、分类器组合与集成-2013.pdf
................\十四、聚类分析.pdf
................\四、近邻识别方法-2013.pdf
................\多维尺度分析.pdf
模式识别课件更新

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