翻訳と辞書 Words near each other ・ Joint Private Medical Universities Admissions System ・ Joint Probabilistic Data Association Filter ・ Joint probability distribution ・ Joint product ・ Joint product pricing ・ Joint Professional Military Education ・ Joint Public Issues Team ・ Joint dislocation ・ Joint Economic Development District ・ Joint effusion ・ Joint Electronics Type Designation System ・ Joint Elimination Coordination Element ・ Joint embedding property ・ Joint employment ・ Joint Entrance Examination ・ Joint entropy ・ Joint European Master in Space Science and Technology ・ Joint European Resources for Micro to Medium Enterprises ・ Joint European Telescope for X-ray astronomy ・ Joint European Torus ・ Joint Examining Board ・ Joint Expedition against Franklin ・ Joint Expeditionary Base East ・ Joint Expeditionary Base Little Creek–Fort Story ・ Joint Expeditionary Forensics Facilities ・ Joint Faculty of Intensive Care Medicine of Ireland ・ Joint FAO/WHO Expert Committee on Food Additives ・ Joint Fires Integration and Interoperability Team (JFIIT) ・ Joint force air component commander ・ Joint Force Air Component Headquarters Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Joint entropy ： ウィキペディア英語版 Joint entropy In information theory, joint entropy is a measure of the uncertainty associated with a set of variables. ==Definition== The joint Shannon entropy of two variables $X$ and $Y$ is defined as :$H(X,Y)\; =\; -\backslash sum\_\; \backslash sum\_\; P(x,y)\; \backslash log\_2()\; \backslash !$ where $x$ and $y$ are particular values of $X$ and $Y$, respectively, $P(x,y)$ is the joint probability of these values occurring together, and $P(x,y)\; \backslash log\_2()$ is defined to be 0 if $P(x,y)=0$. For more than two variables $X\_1,\; ...,\; X\_n$ this expands to :$H(X\_1,\; ...,\; X\_n)\; =\; -\backslash sum\_\; ...\; \backslash sum\_\; P(x\_1,\; ...,\; x\_n)\; \backslash log\_2(...,\; x\_n))\; \backslash !$ where $x\_1,...,x\_n$ are particular values of $X\_1,...,X\_n$, respectively, $P(x\_1,\; ...,\; x\_n)$ is the probability of these values occurring together, and $P(x\_1,\; ...,\; x\_n)\; \backslash log\_2(...,\; x\_n))$ is defined to be 0 if $P(x\_1,\; ...,\; x\_n)=0$. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Joint entropy」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.