"Bayesian network" meaning in All languages combined

See Bayesian network on Wiktionary

Noun [English]

IPA: /ˈbeɪ.zjən ˈnɛt.wɜːk/ [UK], /ˈbeɪ.zjən ˈnɛt.wɝk/ [US] Forms: Bayesian networks [plural]
Etymology: Named after Thomas Bayes (1701–1761), English mathematician. Head templates: {{en-noun}} Bayesian network (plural Bayesian networks)
  1. (statistics) A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state. Wikipedia link: Bayesian network, Thomas Bayes Categories (topical): Statistics Hypernyms: graphical model, probabilistic graphical model
    Sense id: en-Bayesian_network-en-noun-Pd0x1GPo Categories (other): English entries with incorrect language header, Pages with 1 entry, Pages with entries Topics: mathematics, sciences, statistics

Inflected forms

{
  "etymology_text": "Named after Thomas Bayes (1701–1761), English mathematician.",
  "forms": [
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  "lang_code": "en",
  "pos": "noun",
  "senses": [
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          "name": "English entries with incorrect language header",
          "parents": [
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          "source": "w"
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          "orig": "en:Statistics",
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            "Mathematics",
            "Sciences",
            "All topics",
            "Fundamental"
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          "source": "w"
        }
      ],
      "glosses": [
        "A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
      "hypernyms": [
        {
          "word": "graphical model"
        },
        {
          "word": "probabilistic graphical model"
        }
      ],
      "id": "en-Bayesian_network-en-noun-Pd0x1GPo",
      "links": [
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        ]
      ],
      "raw_glosses": [
        "(statistics) A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
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      "wikipedia": [
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      "tags": [
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      ]
    },
    {
      "ipa": "/ˈbeɪ.zjən ˈnɛt.wɝk/",
      "tags": [
        "US"
      ]
    }
  ],
  "word": "Bayesian network"
}
{
  "etymology_text": "Named after Thomas Bayes (1701–1761), English mathematician.",
  "forms": [
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      "tags": [
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      "word": "graphical model"
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      "word": "probabilistic graphical model"
    }
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  "lang": "English",
  "lang_code": "en",
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  "senses": [
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        "Pages with entries",
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      ],
      "glosses": [
        "A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
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        [
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        [
          "random variable",
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        ],
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          "conditional probability"
        ]
      ],
      "raw_glosses": [
        "(statistics) A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
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  "sounds": [
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      "ipa": "/ˈbeɪ.zjən ˈnɛt.wɜːk/",
      "tags": [
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      "ipa": "/ˈbeɪ.zjən ˈnɛt.wɝk/",
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}

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This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2024-12-21 from the enwiktionary dump dated 2024-12-04 using wiktextract (d8cb2f3 and 4e554ae). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.

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