"n-tuple" meaning in All languages combined

{
  "forms": [
    {
      "form": "n-tuples",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "head": "n-tuple"
      },
      "expansion": "n-tuple (plural n-tuples)",
      "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": "English terms containing italics",
          "parents": [
            "Terms containing italics",
            "Terms by orthographic property",
            "Terms by lexical property"
          ],
          "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 French translations",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Mathematics",
          "orig": "en:Mathematics",
          "parents": [
            "Formal sciences",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "1995, Rohwer, R.J., Fourth International Conference on Artificial Neural Networks: Two Bayesian treatments of the n-tuple recognition method, Aston Univ., Birmingham http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=497811",
          "text": "Two probabilistic interpretations of the n-tuple recognition method are put forward in order to allow this technique to be analysed with the same Bayesian methods used in connection with other neural network models."
        },
        {
          "ref": "1998, S.M. Lucas, Vision, Image and Signal Processing, IEE Proceedings: Continuous n-tuple classifier and its application to real-time face recognition, Dept. of Electron. Syst. Eng., Essex Univ., Colchester:",
          "text": "The continuous n-tuple classifier was proposed by the author as a new type of n-tuple classifier that is ideally suited to problems where the input is continuous or multi-level rather than binary.",
          "type": "quote"
        },
        {
          "ref": "1999, D. Chan,1 S. Hockaday, R.D. Tillett, and L.G. Ross, 7th International Conference on Image Processing and its Applications: A trainable n-tuple pattern classifier and its application for monitoring fish underwater http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=IEECPS0019990CP465000255000001&idtype=cvips&gifs=yes",
          "text": "Therefore an image processing technique that utilises a trainable n-tuple pattern recognition algorithm is under investigation."
        }
      ],
      "glosses": [
        "A tuple containing n terms."
      ],
      "id": "en-n-tuple-en-noun-rlTnSVFM",
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "tuple",
          "tuple"
        ],
        [
          "term",
          "term"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A tuple containing n terms."
      ],
      "synonyms": [
        {
          "word": "tuple"
        }
      ],
      "topics": [
        "mathematics",
        "sciences"
      ],
      "translations": [
        {
          "code": "fr",
          "lang": "French",
          "sense": "tuple containing n terms — see also -tuple",
          "tags": [
            "masculine"
          ],
          "word": "n-uplet"
        },
        {
          "code": "fr",
          "lang": "French",
          "sense": "tuple containing n terms — see also -tuple",
          "tags": [
            "masculine"
          ],
          "word": "n-uple"
        }
      ]
    }
  ],
  "word": "n-tuple"
}

{
  "forms": [
    {
      "form": "n-tuples",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "head": "n-tuple"
      },
      "expansion": "n-tuple (plural n-tuples)",
      "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 containing italics",
        "English terms with quotations",
        "Entries with translation boxes",
        "Pages with 1 entry",
        "Pages with entries",
        "Quotation templates to be cleaned",
        "Terms with French translations",
        "en:Mathematics"
      ],
      "examples": [
        {
          "ref": "1995, Rohwer, R.J., Fourth International Conference on Artificial Neural Networks: Two Bayesian treatments of the n-tuple recognition method, Aston Univ., Birmingham http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=497811",
          "text": "Two probabilistic interpretations of the n-tuple recognition method are put forward in order to allow this technique to be analysed with the same Bayesian methods used in connection with other neural network models."
        },
        {
          "ref": "1998, S.M. Lucas, Vision, Image and Signal Processing, IEE Proceedings: Continuous n-tuple classifier and its application to real-time face recognition, Dept. of Electron. Syst. Eng., Essex Univ., Colchester:",
          "text": "The continuous n-tuple classifier was proposed by the author as a new type of n-tuple classifier that is ideally suited to problems where the input is continuous or multi-level rather than binary.",
          "type": "quote"
        },
        {
          "ref": "1999, D. Chan,1 S. Hockaday, R.D. Tillett, and L.G. Ross, 7th International Conference on Image Processing and its Applications: A trainable n-tuple pattern classifier and its application for monitoring fish underwater http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=IEECPS0019990CP465000255000001&idtype=cvips&gifs=yes",
          "text": "Therefore an image processing technique that utilises a trainable n-tuple pattern recognition algorithm is under investigation."
        }
      ],
      "glosses": [
        "A tuple containing n terms."
      ],
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "tuple",
          "tuple"
        ],
        [
          "term",
          "term"
        ]
      ],
      "raw_glosses": [
        "(mathematics) A tuple containing n terms."
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "synonyms": [
    {
      "word": "tuple"
    }
  ],
  "translations": [
    {
      "code": "fr",
      "lang": "French",
      "sense": "tuple containing n terms — see also -tuple",
      "tags": [
        "masculine"
      ],
      "word": "n-uplet"
    },
    {
      "code": "fr",
      "lang": "French",
      "sense": "tuple containing n terms — see also -tuple",
      "tags": [
        "masculine"
      ],
      "word": "n-uple"
    }
  ],
  "word": "n-tuple"
}