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 :
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