"dyadics" meaning in All languages combined

{
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    {
      "args": {
        "1": "en",
        "2": "noun form"
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      "expansion": "dyadics",
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  ],
  "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"
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          "source": "w"
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      ],
      "examples": [
        {
          "ref": "2016, Guangyong Chen, Fengyuan Zhu, Pheng Ann Heng, “Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization”, in arXiv",
          "text": "This paper develops a novel fully Bayesian nonparametric framework which integrates two popular and complementary approaches, discrete mixed membership modeling and continuous latent factor modeling into a unified Heterogeneous Matrix Factorization~(HeMF) model, which can predict the unobserved dyadics accurately.",
          "type": "quotation"
        }
      ],
      "form_of": [
        {
          "word": "dyadic"
        }
      ],
      "glosses": [
        "plural of dyadic"
      ],
      "id": "en-dyadics-en-noun-fqCyEIK0",
      "links": [
        [
          "dyadic",
          "dyadic#English"
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      ],
      "tags": [
        "form-of",
        "plural"
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  "word": "dyadics"
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{
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    {
      "args": {
        "1": "en",
        "2": "noun form"
      },
      "expansion": "dyadics",
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  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
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        "English non-lemma forms",
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      "examples": [
        {
          "ref": "2016, Guangyong Chen, Fengyuan Zhu, Pheng Ann Heng, “Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization”, in arXiv",
          "text": "This paper develops a novel fully Bayesian nonparametric framework which integrates two popular and complementary approaches, discrete mixed membership modeling and continuous latent factor modeling into a unified Heterogeneous Matrix Factorization~(HeMF) model, which can predict the unobserved dyadics accurately.",
          "type": "quotation"
        }
      ],
      "form_of": [
        {
          "word": "dyadic"
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      "glosses": [
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  "word": "dyadics"
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