bd950b1783121e32dff3 · Neural Networks for Classifying Probability Distributions

{
  "title_en": "Neural Networks for Classifying Probability Distributions",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2021-04-19",
  "date_original": "April 19, 2021",
  "url": "https://www.nist.gov/publications/neural-networks-classifying-probability-distributions",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Siham Khoussi , N. Alan Heckert , Abdella Battou , Saddek Bensalem",
  "abstract_excerpt_en": "Probability distribution fitting of an unknown stochastic process is an important preliminary step for any further analysis in science or engineering. However, it requires some background in statistics and prior considerations of the process or phenomenon",
  "id": "bd950b1783121e32dff3",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Neural Networks for Classifying Probability Distributions",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2021-04-19",
      "date_original": "April 19, 2021",
      "url": "https://www.nist.gov/publications/neural-networks-classifying-probability-distributions",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Siham Khoussi , N. Alan Heckert , Abdella Battou , Saddek Bensalem",
      "abstract_excerpt_en": "Probability distribution fitting of an unknown stochastic process is an important preliminary step for any further analysis in science or engineering. However, it requires some background in statistics and prior considerations of the process or phenomenon"
    }
  ],
  "translation_state": "none"
}