Effective Frameworks Based on Infinite Mixture Model for Real-World Applications
Author(s) -
Norah Saleh Alghamdi,
Sami Bourouis,
Nizar Bouguila
Publication year - 2022
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.022959
Subject(s) - dirichlet process , computer science , hierarchical dirichlet process , prior probability , flexibility (engineering) , artificial intelligence , machine learning , mixture model , bayesian probability , nonparametric statistics , dirichlet distribution , process (computing) , latent dirichlet allocation , topic model , mathematics , econometrics , statistics , mathematical analysis , boundary value problem , operating system
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom