“`” 参考回答:

交叉熵:设p(x)、q(x)是X中取值的两个概率分布,则p对q的相对熵是:

<img alt=""img"" referrerpolicy=""no-referrer"" src=""https://uploadfiles.nowcoder.com/images/20190315/311436_1552636379213_CBBE7BD288ABDE72EC99C1C9E2460397"">

在一定程度上,相对熵可以度量两个随机变量的“距离”,且有D(p||q) ≠D(q||p)。另外,值得一提的是,D(p||q)是必然大于等于0的。

互信息:两个随机变量X,Y的互信息定义为X,Y的联合分布和各自独立分布乘积的相对熵,用I(X,Y)表示:

<img alt=""img"" referrerpolicy=""no-referrer"" src=""https://uploadfiles.nowcoder.com/images/20190315/311436_1552636405275_31164847B307E0EC60BF3778CA24CC08"">

且有I(X,Y)=D(P(X,Y)||P(X)P(Y))。下面,咱们来计算下H(Y)-I(X,Y)的结果,如下:

<img alt=""img"" referrerpolicy=""no-referrer"" src=""https://uploadfiles.nowcoder.com/images/20190315/311436_1552636449824_1A9F5B3167EE16F4E96810EFB567A69D"">

 

 

<pre><code> "“`

Was this helpful?

0 / 0

发表回复 0

Your email address will not be published.