Time Varying Dynamic Bayesian Network for Nonstationary Events Modeling and Online Inference
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Thomas S. Huang | Xiaokang Yang | Yi Xu | Ercan E. Kuruoglu | Zhaowen Wang | Thomas S. Huang | Xiaokang Yang | E. Kuruoglu | Zhaowen Wang | Yi Xu | E. Kuruoğlu
[1] Le Song,et al. Sparsistent Learning of Varying-coefficient Models with Structural Changes , 2009, NIPS.
[2] P. Priouret,et al. On recursive estimation for time varying autoregressive processes , 2005, math/0603047.
[3] Stuart J. Russell,et al. Dynamic bayesian networks: representation, inference and learning , 2002 .
[4] Vladimir Pavlovic,et al. Learning Switching Linear Models of Human Motion , 2000, NIPS.
[5] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[6] Le Song,et al. Estimating time-varying networks , 2008, ISMB 2008.
[7] Patrick Pérez,et al. Color-Based Probabilistic Tracking , 2002, ECCV.
[8] David Heckerman,et al. A Tutorial on Learning with Bayesian Networks , 1999, Innovations in Bayesian Networks.
[9] Michael I. Jordan,et al. Nonparametric Bayesian Learning of Switching Linear Dynamical Systems , 2008, NIPS.
[10] Carlo S. Regazzoni,et al. Interaction Analysis with a Bayesian Trajectory Model , 2010, IEEE Intelligent Systems.
[11] Christophe Andrieu,et al. Bayesian curve fitting using MCMC with applications to signal segmentation , 2002, IEEE Trans. Signal Process..
[12] Le Song,et al. Dynamic mixed membership blockmodel for evolving networks , 2009, ICML '09.
[13] Michael A. West,et al. Bayesian time-varying autoregressions: Theory, methods and applications , 2000 .
[14] Alexander J. Hartemink,et al. Non-stationary dynamic Bayesian networks , 2008, NIPS.
[15] Le Song,et al. Time-Varying Dynamic Bayesian Networks , 2009, NIPS.
[16] Geoffrey E. Hinton,et al. Variational Learning for Switching State-Space Models , 2000, Neural Computation.
[17] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[18] Paul Fearnhead,et al. Exact and efficient Bayesian inference for multiple changepoint problems , 2006, Stat. Comput..
[19] Marco Grzegorczyk,et al. Non-stationary continuous dynamic Bayesian networks , 2009, NIPS.
[20] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[21] Alfred O. Hero,et al. Inferring Time-Varying Network Topologies from Gene Expression Data , 2007, EURASIP J. Bioinform. Syst. Biol..
[22] David Heckerman,et al. Learning Gaussian Networks , 1994, UAI.
[23] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[24] Thomas D. Nielsen,et al. Adapting Bayes Network Structures to Non-stationary Domains , 2006, Probabilistic Graphical Models.
[25] Kevin P. Murphy,et al. Modeling changing dependency structure in multivariate time series , 2007, ICML '07.
[26] Diego Sona,et al. Hierarchical Dirichlet model for document classification , 2005, ICML.
[27] Eli Upfal,et al. Stochastic models for the Web graph , 2000, Proceedings 41st Annual Symposium on Foundations of Computer Science.
[28] Narsingh Deo,et al. Preferential deletion in dynamic models of web-like networks , 2007, Inf. Process. Lett..
[29] Kevin P. Murphy,et al. Learning the Structure of Dynamic Probabilistic Networks , 1998, UAI.
[30] Padhraic Smyth,et al. Adaptive event detection with time-varying poisson processes , 2006, KDD '06.
[31] Aysin Ertüzün,et al. Modeling non-Gaussian time-varying vector autoregressive processes by particle filtering , 2010, Multidimens. Syst. Signal Process..
[32] James M. Rehg,et al. Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems , 2008, International Journal of Computer Vision.
[33] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[34] Michael Isard,et al. Learning Multi-Class Dynamics , 1998, NIPS.
[35] Christophe Andrieu,et al. Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions , 2003, IEEE Trans. Signal Process..
[36] C. Robert Kenley,et al. Gaussian influence diagrams , 1989 .
[37] Lingfeng Shi,et al. Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series , 2008, Knowledge and Information Systems.
[38] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[39] Rama Chellappa,et al. Locally time-invariant models of human activities using trajectories on the grassmannian , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Michael A. West,et al. Evaluation and Comparison of EEG Traces: Latent Structure in Nonstationary Time Series , 1999 .
[41] Allan Tucker,et al. A Bayesian network approach to explaining time series with changing structure , 2004, Intell. Data Anal..
[42] Wenjie Fu,et al. Recovering temporally rewiring networks: a model-based approach , 2007, ICML '07.
[43] Lorne D. Johnson,et al. Maximizing equity market sector predictability in a Bayesian time-varying parameter model , 2008, Comput. Stat. Data Anal..
[44] Robert T. Collins,et al. An Open Source Tracking Testbed and Evaluation Web Site , 2005 .