(第 5讲,总第32 讲)
(Statistical Forum for Undergraduates)
题 目：Naive Bayes
时 间：2013年10月31日（周四）18:30
地 点：数学楼第三报告厅
主讲人：刘冬萌(10统计)
摘 要：Naive Bayes methods are a set of supervised learning algorithms based on applying Bayes’ theorem with the “naive” assumption of independence between every pair of features. N.B. algorithm is a simple and effective classification algorithm. We will discuss its theory and usage with some examples.
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伟德源自英国始于1946统计学系
2013年 10月27日
