Salman, Issam, Czech Technical University, Czech Republic
-
Vol 47, No 1 (2023) - Regular papers
Learning the Structure of Bayesian Networks from Incomplete Data Using a Mixture Model
Abstract PDF
Contact Editors
Europe, Africa:
Matjaz Gams
N. and S. America:
Karthick Gunasekaran
Asia, Australia:
Vinay Singh
Overview papers:
Maria Ganzha
Wiesław Pawlowski
Aleksander Denisiuk Abstacting / Indexing
Citeseer
COBISS
Compendex
Computer & Information Systems Abstracts
Computer Database
Computer Science Index
dLib.si
DBLP Computer Science Bibliography
Directory of Open Access Journals
Google Scholar
InfoTrac OneFile
Inspec
Linguistic and Language Behaviour Abstracts
Mathematical Reviews, MatSciNet, MatSci on SilverPlatter and Current Mathematical Publications
Scopus Publishing
Support
Slovenian Society for Pattern Recognition
Slovenian Artificial Intelligence Society
Slovenian Society for Cognitive Science
Slovenian Society of Mathematicians, Physicists and Astronomers
Automatic Control Society of Slovenia
Slovenian Academy of Engineering
International Federation for Information Processing
Matjaz Gams
N. and S. America:
Karthick Gunasekaran
Asia, Australia:
Vinay Singh
Overview papers:
Maria Ganzha
Wiesław Pawlowski
Aleksander Denisiuk Abstacting / Indexing
Informatica is surveyed by:
ACM Digital LibraryCiteseer
COBISS
Compendex
Computer & Information Systems Abstracts
Computer Database
Computer Science Index
dLib.si
DBLP Computer Science Bibliography
Directory of Open Access Journals
Google Scholar
InfoTrac OneFile
Inspec
Linguistic and Language Behaviour Abstracts
Mathematical Reviews, MatSciNet, MatSci on SilverPlatter and Current Mathematical Publications
Scopus Publishing
Informatica is published by:
Informatica is supported by:
ACM SloveniaSlovenian Society for Pattern Recognition
Slovenian Artificial Intelligence Society
Slovenian Society for Cognitive Science
Slovenian Society of Mathematicians, Physicists and Astronomers
Automatic Control Society of Slovenia
Slovenian Academy of Engineering
International Federation for Information Processing
User
Information
Support & Indexing
