(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.

欢迎参加！

数学科学学院统计学系

2013年 10月27日