Towards a more expressive model for dynamic classification

Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23

Volumn , Issue , 2010, Pages 563-564

  Zhong, Shengtong ^a   Martínez, Ana M ^b   Nielsen, Thomas D ^c   Langseth, Helge ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^c AALBORG UNIVERSITY   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77957863007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Ghahramani, Z. 1998. Learning dynamic Bayesian networks. In Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures, 168-197. London, UK: Springer-Verlag.
2. Langseth, H., and Nielsen, T. D. 2005. Latent classification models. Machine Learning Journal - Special Issue on Probabilistic Graphical Models for Classification 59(3):237-265.
3. Smyth, P. 1994. Hidden Markov models for fault detection in dynamic system. Pattern Recognition 27( 1 ): 149-164. (Pubitemid 124017399)