Dynamic Bayesian Networks

Dynamic Bayesian Networks (2002)

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by Kevin P. Murphy

Venue:	Probabilistic Graphical Models
Citations:	24 - 1 self

BibTeX

@INPROCEEDINGS{Murphy02dynamicbayesian,
    author = {Kevin P. Murphy},
    title = {Dynamic Bayesian Networks},
    booktitle = {Probabilistic Graphical Models},
    year = {2002}
}

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Citations

3116	A tutorial on hidden Markov models and selected applications in speech recognition - Rabiner - 1989
2959	Artificial Intelligence: a Modern Approach - Russell, Norvig - 1995
753	A tutorial on particle filters for on-line non-linear/non-gaussian bayesian tracking - Arulampalam, Maskell, et al. - 2001
663	Sequential Monte Carlo methods in practice. Statistics for engineering and information science - Doucet, Freitas, et al. - 2001
612	Statistical Methods for Speech Recognition - Jelinek - 1997
578	PJ: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika - Green - 1995
576	Tracking and Data Association - Bar-Shalom, Fortmann - 1988
511	DM: Statistical Analysis of Finite Mixture Distributions Chichester - Titterington - 1985
475	Optimal Filtering - Anderson, Moore - 1979
396	A model for reasoning about persistence and causation - Dean, Kanazawa - 1990
393	Dynamic Bayesian Networks: Representation, Inference and Learning - Murphy - 2002
375	Factorial hidden markov models - Ghahramani, Jordan - 1997
358	FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem - Montemerlo, Thrun, et al.
340	Sequential monte carlo methods for dynamic systems - Liu, Chen - 1998
316	Gaussian influence diagrams - Shachter, Kenley - 1989
291	A new extension of the Kalman filter to nonlinear systems - Julier, Uhlmann - 1997
274	A solution to the simultaneous localization and map building (SLAM) problem - Dissanayake, Newman, et al.
261	Algorithmic aspects of vertex elimination on graphs - Rose, Tarjan, et al. - 1976
260	Finite-state transducers in language and speech processing - Mohri - 1997
243	Reinforcement Learning with Selective Perception and Hidden State - McCallum - 1996
228	Tractable inference for complex stochastic processes - Boyen, Koller - 1998
212	Bayesian forecasting and dynamic models - West, Harrison - 1997
202	Time Series Analysis by State Space Methods - Durbin, Koopman - 2001
185	A family of algorithms for approximate Bayesian inference - Minka - 2001
176	The Hierarchical Hidden Markov Model: Analysis and Applications - Fine, Singer, et al. - 1998
176	From HMM‟s to segment models: a unified view of stochastic modeling for speech recognition - Ostendorf, Digalakis, et al. - 1996
169	On sequential simulation-based methods for Bayesian filtering - Doucet - 1998
148	The power of amnesia: learning probabilistic automata with variable memory length - Ron, Singer, et al. - 1996
146	Semi-tied covariance matrices for hidden Markov models - Gales - 1999
142	Simulation approaches to general probabilistic inference on belief networks - Shachter, Peot - 1989
139	Dynamic Linear Models with Markov-Switching - Kim - 1994
137	Stochastic simulation algorithms for dynamic probabilistic networks - Kanazawa, Koller, et al. - 1995
127	Rao-Blackwellization of sampling schemes - Cassella, Robert - 1996
118	An efficient implementation of Reid’s multiple hypothesis tracking algorithm and its evaluation for the purposeof visual tracking - Cox, Hingorani - 1996
115	Variational Learning for Switching State-Space Models - Ghahramani, Hinton - 2000
111	Bayesian map learning in dynamic environments - Murphy
108	The Unscented Particle Filter - Merwe, Freitas, et al.
104	Mixture Kalman Filters - Chen, Liu - 2000
103	Speech Recognition by Composition of Weighted Finite Automata - Pereira, Riley - 1997
86	Weighting and integrating evidence for stochastic simulation in Bayesian networks - FUNG, CHANG - 1990
86	Learning Switching Linear Models of Human Motion - Pavlovic, Rehg, et al. - 2000
85	Particle filters for state estimation of jump markov linear systems - Doucet, Gordon, et al.
83	The graphical models toolkit: An open source software system for speech and time-series processing - Bilmes, Zweig - 2002
76	Applications of a general propagation algorithm for probabilistic expert systems - Dawid - 1992
71	Linear time inference in hierarchical HMMs - Murphy, Paskin - 2001
70	A bit of progress in language modeling - Goodman - 2001
68	Agazzi: Keyword spotting in poorly printed documents using pseudo 2-D hidden Markov models - Kuo, O - 1994
56	Multitarget Multisensor Tracking: Advanced Applications - Bar-Shalom - 1990
55	Inference in hybrid networks: Theoretical limits and practical algorithms - Lerner, Parr - 2001
54	Dynamic Bayesian multinets - Bilmes - 2000