Machine Learning Series No.7 -- Max Entropy
最大熵模型 1.它是一个判别模型，最终目的是为了建模 p(y|x) p ( y | x ) 。 2.原理 认为学习模型时，认为条件熵最大的模型是最好的模型。 其原理可由以下博客说明，其隐含的意思是指最好的模型是在满足已有约束的条件下，不做任何主观臆测的模型是最好的模型。 http://www.javashuo.com/article/p-augtphtv-gw.html 3.推导 Ep~(f)=∑
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相关文章
- 1. Machine Learning Series No.6 -- EM algorithm
- 2. Machine Learning Series No.3-- Support Vector Machine
- 3. Machine Learning Series No.4 -- Decision Trees
- 4. Machine Learning Series No.10 -- PCA
- 5. Machine Learning Series No.2 --Logistic Regression
- 6. Machine Learning Series No.8 -- CRF(Conditional Random field)
- 7. Machine Learning(7) : Quiz7
- 8. Machine learning(7): Unsupervised learning-------CLUSTERING
- 9. Machine learning(7): Unsupervised learning----ASSOCIATION RULES
- 10. Machine Learning(week 7~11)