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首页贝叶斯学习 极大似然和最小误差平方假设的结论
贝叶斯学习 极大似然和最小误差平方假设的结论

在特定前提下,任一学习算法如果使输出的假设预测和训练数据之间的误差平方最小化,它将输出一极大似然假设。
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1
第 6 章 贝叶斯学习
Bayesian Learning

2
贝叶斯学习 (Bayesian Learning)
Bayes Theorem
MAP ML hypotheses
MAP learner
Minimum description length principle
Bayes optimal classier
Naive Bayes learner
Example Learning over text data
Bayesian belief networks
Expectation Maximization algorithm

3
Two Roles for Bayesian
Methods
Provides practical learning algorithms
•
Naive Bayes learning
•
Bayesian belief network learning
•
Combine prior knowledge(prior probabilities) w
ith observed data
•
Requires prior probabilities

4
Two Roles for Bayesian
Methods
Provides useful conceptual framework
•
Provides gold standard for evaluating other lea
rning algorithms
•
Additional insight into Occams razor

5
Bayes Theorem
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