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In [[probability theory]], particularly [[information theory]], the '''conditional mutual information'''<ref name = Wyner1978>{{cite journal|last=Wyner|first=A. D. |title=A definition of conditional mutual information for arbitrary ensembles|url=|journal=Information and Control|year=1978|volume=38|issue=1|pages=51–59|doi=10.1016/s0019-9958(78)90026-8|doi-access=free}}</ref><ref name = Dobrushin1959>{{cite journal|last=Dobrushin|first=R. L. |title=General formulation of Shannon's main theorem in information theory|journal=Uspekhi Mat. Nauk|year=1959|volume=14|pages=3–104}}</ref> is, in its most basic form, the [[expected value]] of the [[mutual information]] of two random variables given the value of a third.

In [[probability theory]], particularly [[information theory]], the '''conditional mutual information'''<ref name = Wyner1978>{{cite journal|last=Wyner|first=A. D. |title=A definition of conditional mutual information for arbitrary ensembles|url=|journal=Information and Control|year=1978|volume=38|issue=1|pages=51–59|doi=10.1016/s0019-9958(78)90026-8|doi-access=free}}</ref><ref name = Dobrushin1959>{{cite journal|last=Dobrushin|first=R. L. |title=General formulation of Shannon's main theorem in information theory|journal=Uspekhi Mat. Nauk|year=1959|volume=14|pages=3–104}}</ref> is, in its most basic form, the [[expected value]] of the [[mutual information]] of two random variables given the value of a third.

在'''<font color="#ff8000"> 概率论 Probability theory</font>'''中，特别是'''<font color="#ff8000"> 信息论 Information theory</font>'''中，'''<font color="#ff8000"> 条件互信息 Conditional mutual information </font>'''<ref name = Wyner1978>{{cite journal|last=Wyner|first=A. D. |title=A definition of conditional mutual information for arbitrary ensembles|url=|journal=Information and Control|year=1978|volume=38|issue=1|pages=51–59|doi=10.1016/s0019-9958(78)90026-8|doi-access=free}}</ref><ref name = Dobrushin1959>{{cite journal|last=Dobrushin|first=R. L. |title=General formulation of Shannon's main theorem in information theory|journal=Uspekhi Mat. Nauk|year=1959|volume=14|pages=3–104}}</ref>，的基本形式表示为当给定第三个变量的情况下两个随机变量间互信息的期望值。

在'''<font color="#ff8000"> 概率论 Probability theory</font>'''中，特别是'''<font color="#ff8000"> 信息论 Information theory</font>'''中，'''<font color="#ff8000"> 条件互信息 Conditional mutual information </font>'''<ref name = Wyner1978>{{cite journal|last=Wyner|first=A. D. |title=A definition of conditional mutual information for arbitrary ensembles|url=|journal=Information and Control|year=1978|volume=38|issue=1|pages=51–59|doi=10.1016/s0019-9958(78)90026-8|doi-access=free}}</ref><ref name = Dobrushin1959>{{cite journal|last=Dobrushin|first=R. L. |title=General formulation of Shannon's main theorem in information theory|journal=Uspekhi Mat. Nauk|year=1959|volume=14|pages=3–104}}</ref>的基本形式表示为当给定第三个变量的情况下两个随机变量间互信息的期望值。