I was wondering if there was a DBN (dynamic Bayes net) repository,
similar to Nir's static BN repository.
The only DBNs I know that have been used or proposed are the ones
mentioned below. I would be very interested to hear from people who have
used others. I am mostly interested in models which have rich graphical
structure but discrete state spaces, as opposed to ones with simple
structure but complex probability distributions,
which are typically solved using particle filtering.
Kevin
- BAT DBN, proposed in Forbes95, used in Boyen98
- Water DBN, proposed in Jensen89, used in Boyen98
- Factorial HMMs, proposed in Ghahramani97
- Coupled HMMs, proposed in Brand96
@inproceedings{Boyen98,
author = "X. Boyen and D. Koller",
title = "Tractable Inference for Complex Stochastic Processes",
booktitle = uai,
year = 1998
}
@techreport{Brand96,
author = "M. Brand",
title = "Coupled hidden {M}arkov models for modeling interacting
processes",
institution = "MIT Lab for Perceptual Computing/ Learning and Common
Sense",
year = 1996,
number = 405
}
@inproceedings{Forbes95,
author = "Jeff Forbes and Tim Huang and Keiji Kanazawa and
Stuart Russell",
year = "1995",
title = "The {BAT}mobile: {T}owards a {B}ayesian Automated
Taxi",
booktitle = ijcai
}
@article{Ghahramani97,
author = "Z. Ghahramani and M. Jordan",
title = "Factorial Hidden {M}arkov Models",
journal = "Machine Learning",
volume = 29,
pages = "245--273",
year = 1997
}
@techreport{Jensen89,
author = "F. V. Jensen and U. Kjaerulff and K. G. Olesen and J.
Pedersen",
title = "An expert system for control of waste water treatment --- a
pilot project",
institution = "Univ. Aalborg, Judex Datasystemer",
year = 1989,
note = "In Danish"
}
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