"mutual information" meaning in All languages combined

{
  "forms": [
    {
      "form": "mutual informations",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "1": "-",
        "2": "s"
      },
      "expansion": "mutual information (usually uncountable, plural mutual informations)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Entries with translation boxes",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Terms with Mandarin translations",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Information theory",
          "orig": "en:Information theory",
          "parents": [
            "Applied mathematics",
            "Mathematics",
            "Formal sciences",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "text": "Mutual information I(X;Y) between two random variables X and Y is what is left over when their mutual conditional entropies H(Y|X) and H(X|Y) are subtracted from their joint entropy H(X,Y). It can be given by the formula I(X;Y)=-∑ₓ∑_yp_X,Y(x,y) log _bp_X,Y(x,y)/p_X|Y(x|y)p_Y|X(y|x)."
        },
        {
          "ref": "2018, Clarence Green, James Lambert, “Position vectors, homologous chromosomes and gamma rays: Promoting disciplinary literacy through Secondary Phrase Lists”, in English for Specific Purposes, →DOI, page 6:",
          "text": "From these lists, all combinations of the four major parts of speech were extracted and each phrase was checked for the frequency, dispersion and range criteria respectively. Those that passed the criteria thresholds then had their mutual information scores computed using the tool Collocate (Barlow, 2004) and those failing to meet the threshold were removed.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A measure of the entropic (informational) correlation between two random variables."
      ],
      "id": "en-mutual_information-en-noun-M0Hy3OGG",
      "links": [
        [
          "information theory",
          "information theory"
        ],
        [
          "entropic",
          "entropic"
        ],
        [
          "correlation",
          "correlation"
        ],
        [
          "random variable",
          "random variable"
        ]
      ],
      "raw_glosses": [
        "(information theory) A measure of the entropic (informational) correlation between two random variables."
      ],
      "tags": [
        "uncountable",
        "usually"
      ],
      "topics": [
        "computing",
        "engineering",
        "information-theory",
        "mathematics",
        "natural-sciences",
        "physical-sciences",
        "sciences"
      ],
      "translations": [
        {
          "code": "cmn",
          "lang": "Chinese Mandarin",
          "roman": "hù xìnxī",
          "sense": "measure of the entropic correlation",
          "word": "互信息"
        },
        {
          "code": "cmn",
          "lang": "Chinese Mandarin",
          "sense": "measure of the entropic correlation",
          "word": "互資訊"
        },
        {
          "code": "cmn",
          "lang": "Chinese Mandarin",
          "roman": "hù zīxùn",
          "sense": "measure of the entropic correlation",
          "word": "互资讯"
        }
      ],
      "wikipedia": [
        "mutual information"
      ]
    }
  ],
  "word": "mutual information"
}

{
  "forms": [
    {
      "form": "mutual informations",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "1": "-",
        "2": "s"
      },
      "expansion": "mutual information (usually uncountable, plural mutual informations)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English multiword terms",
        "English nouns",
        "English terms with quotations",
        "English uncountable nouns",
        "Entries with translation boxes",
        "Pages with 1 entry",
        "Pages with entries",
        "Terms with Mandarin translations",
        "en:Information theory"
      ],
      "examples": [
        {
          "text": "Mutual information I(X;Y) between two random variables X and Y is what is left over when their mutual conditional entropies H(Y|X) and H(X|Y) are subtracted from their joint entropy H(X,Y). It can be given by the formula I(X;Y)=-∑ₓ∑_yp_X,Y(x,y) log _bp_X,Y(x,y)/p_X|Y(x|y)p_Y|X(y|x)."
        },
        {
          "ref": "2018, Clarence Green, James Lambert, “Position vectors, homologous chromosomes and gamma rays: Promoting disciplinary literacy through Secondary Phrase Lists”, in English for Specific Purposes, →DOI, page 6:",
          "text": "From these lists, all combinations of the four major parts of speech were extracted and each phrase was checked for the frequency, dispersion and range criteria respectively. Those that passed the criteria thresholds then had their mutual information scores computed using the tool Collocate (Barlow, 2004) and those failing to meet the threshold were removed.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A measure of the entropic (informational) correlation between two random variables."
      ],
      "links": [
        [
          "information theory",
          "information theory"
        ],
        [
          "entropic",
          "entropic"
        ],
        [
          "correlation",
          "correlation"
        ],
        [
          "random variable",
          "random variable"
        ]
      ],
      "raw_glosses": [
        "(information theory) A measure of the entropic (informational) correlation between two random variables."
      ],
      "tags": [
        "uncountable",
        "usually"
      ],
      "topics": [
        "computing",
        "engineering",
        "information-theory",
        "mathematics",
        "natural-sciences",
        "physical-sciences",
        "sciences"
      ],
      "wikipedia": [
        "mutual information"
      ]
    }
  ],
  "translations": [
    {
      "code": "cmn",
      "lang": "Chinese Mandarin",
      "roman": "hù xìnxī",
      "sense": "measure of the entropic correlation",
      "word": "互信息"
    },
    {
      "code": "cmn",
      "lang": "Chinese Mandarin",
      "sense": "measure of the entropic correlation",
      "word": "互資訊"
    },
    {
      "code": "cmn",
      "lang": "Chinese Mandarin",
      "roman": "hù zīxùn",
      "sense": "measure of the entropic correlation",
      "word": "互资讯"
    }
  ],
  "word": "mutual information"
}