Who Cited It

Dynamic bayesian networks: representation, inference and learning

2002 · 2,604 citations · 0 from inside this corpus

Kevin P. Murphy, Stuart Russell

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Dynamic bayesian networks: representation, inference and learning (2002)Dynamic bayesian networks: re…A tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…Artificial intelligence: a modern approach (1995)Artificial intelligence: a mo…Neural networks for pattern recognition (1994)Neural networks for pattern r…Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (2002)A tutorial on particle filter…Novel approach to nonlinear/non-Gaussian Bayesian state estimation (1993)Novel approach to nonlinear/n…Numerical Recipes--The Art of Scientific Computing. (1988)Numerical Recipes--The Art of…Causality: Models, Reasoning and Inference (2001)Causality: Models, Reasoning …Causation, Prediction, and Search (1993)Causation, Prediction, and Se…Speech and Language Processing: An Introduction to Natural Language Processing, Computati… (2000)Speech and Language Processin…Bayesian Networks and Decision Graphs (2007)Bayesian Networks and Decisio…An Introduction to Variational Methods for Graphical Models (1999)An Introduction to Variationa…A Bayesian Method for the Induction of Probabilistic Networks from Data (1992)A Bayesian Method for the Ind…Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (1995)Learning Bayesian Networks: T…Optimal Filtering (1982)Optimal FilteringBetween MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)Between MDPs and semi-MDPs: A…Tracking and Data Association (1990)Tracking and Data AssociationStatistical Analysis of Finite Mixture Distributions. (1987)Statistical Analysis of Finit…Mixture Densities, Maximum Likelihood and the EM Algorithm (1984)Mixture Densities, Maximum Li…Hierarchical Mixtures of Experts and the EM Algorithm (1994)Hierarchical Mixtures of Expe…Bayesian Forecasting and Dynamic Models (1997)Bayesian Forecasting and Dyna…Marginal Likelihood from the Gibbs Output (1995)A Tutorial on Learning with Bayesian Networks (2008)A Tutorial on Learning with B…Loopy Belief Propagation for Approximate Inference: An Empirical Study (2013)Loopy Belief Propagation for …Time Series Analysis by State Space Methods (2012)Time Series Analysis by State…The Unscented Particle Filter (2000)The Unscented Particle Filter
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What this paper cites, inside the corpus

PaperYearCited
A tutorial on hidden Markov models and selected applications in speech recognition198922,910
Artificial intelligence: a modern approach199522,262
Neural networks for pattern recognition199418,720
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking200211,564
Novel approach to nonlinear/non-Gaussian Bayesian state estimation19937,639
Numerical Recipes--The Art of Scientific Computing.19884,882
Causality: Models, Reasoning and Inference20014,831
Causation, Prediction, and Search19934,748
Speech and Language Processing: An Introduction to Natural Language Processing, Computati…20004,170
Bayesian Networks and Decision Graphs20074,152
An Introduction to Variational Methods for Graphical Models19993,793
A Bayesian Method for the Induction of Probabilistic Networks from Data19923,530
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data19953,262
Optimal Filtering19823,247
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning19993,201
Tracking and Data Association19903,097
Statistical Analysis of Finite Mixture Distributions.19872,951
Mixture Densities, Maximum Likelihood and the EM Algorithm19842,720
Hierarchical Mixtures of Experts and the EM Algorithm19942,684
Bayesian Forecasting and Dynamic Models19971,963
Marginal Likelihood from the Gibbs Output19951,828
A Tutorial on Learning with Bayesian Networks20081,715
Loopy Belief Propagation for Approximate Inference: An Empirical Study20131,469
Time Series Analysis by State Space Methods20121,461
The Unscented Particle Filter20001,419

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Topics

Bayesian Modeling and Causal InferenceComputer Science
AI-based Problem Solving and PlanningComputer Science
Logic, Reasoning, and KnowledgeComputer Science

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complete

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  • supports2 author record(s) attached.
  • supports381 reference(s) recorded.
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  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

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