DocumentCode
3647514
Title
Topic models and advanced algorithms for profiling of knowledge in scientific papers
Author
V. Jelisavčić;B. Furlan;Jelica Protić;Veljko Milutinović
Author_Institution
Mathematical Institute of the Serbian Academy of Sciences and Arts/11000, Belgrade, Serbia
fYear
2012
fDate
5/1/2012 12:00:00 AM
Firstpage
1030
Lastpage
1035
Abstract
Survey of probabilistc topic models is presented with emphasis on fundamentally different approaches used in modeling. Introduced classification differs from earlier efforts, providing a complementary view of the field. Purpose of this survey is to provide a brief overview of the current probailistic topic models as well as an inspiration for future research.
Keywords
"Mathematical model","Hidden Markov models","Data models","Computational modeling","Probabilistic logic","Equations","Training"
Publisher
ieee
Conference_Titel
MIPRO, 2012 Proceedings of the 35th International Convention
Print_ISBN
978-1-4673-2577-6
Type
conf
Filename
6240795
Link To Document