Доступ предоставлен для: Guest
Journal of Automation and Information Sciences

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Bayesian Recognition Procedures on Networks

Том 42, Выпуск 11, 2010, pp. 58-63
DOI: 10.1615/JAutomatInfScien.v42.i11.60
Get accessGet access

Краткое описание

The polynomial algorithms of determining Bayesian network structure are described as "tree" or "polytree". In the known Bayesian network structure consideration is given to Bayesian recognition procedures built on learning samples by estimations of transition probabilities.

ЛИТЕРАТУРА
  1. Gupal A.M., Sergienko I.V., Optimal recognition procedures.

  2. Vapnik V.N., Chervonenkis A.Ya., Theory of images recognition.

  3. Pearl J., Probabilistic reasoning in intelligent systems: networks of plausible inference.

  4. Gupal A.M., Vagis A.A., Statistical estimation of the Markov pattern recognition procedure.

  5. Anderson T.W., Goodman L.A., Statistical inference about Markov chains.

  6. Sergienko I.V., Beletskiy B.A., Gupal A.M., Predicting torsion angles in amino acid protein sequences based on a Bayesian classification procedure on Markov chains.

ЦИТИРОВАНО В
  1. Aleardi Mattia, Vinciguerra Alessandro, Hojat Azadeh, A geostatistical Markov chain Monte Carlo inversion algorithm for electrical resistivity tomography, Near Surface Geophysics, 19, 1, 2021. Crossref

Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции Цены и условия подписки Begell House Контакты Language English 中文 Русский Português German French Spain