信息检索与数据挖掘 2019/5/59 朴素贝叶斯分类器→概率图 El(outlook):sunny,overcast,rainy E2(temperature):hot,mild,cool E3(humidity):high,normal E4(windy):FALSE,TRUE C(play):no,yes 独立性的假设 P(C,E1,E2,E3,E4)=P(C)P(EI C)P(E2 CP(E3 CP(E4 C) Graphical Cmap=arg max P(cld)=arg max P(c)P(tklc) cEC cEC Model 1<k≤nd C E4 E1 E2 E3信息检索与数据挖掘 2019/5/5 9 朴素贝叶斯分类器概率图 独立性的假设 Graphical Model C E2 E3 E4 E1 E1(outlook): sunny, overcast, rainy E2(temperature): hot, mild, cool E3(humidity): high, normal E4(windy): FALSE, TRUE C(play): no, yes P(C,E1,E2,E3,E4)=P(C)P(E1|C)P(E2|C)P(E3|C)P(E4|C)