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    » Efficient Inference in Persistent Dynamic Bayesian Networks
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    HYBRID
    2000
    Springer
    191views Control Systems» more  HYBRID 2000»
    A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
    13 years 11 months ago
    A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
    Download  www.ifp.illinois.edu
    Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
    Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
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    NIPS
    2004
    186views Information Technology» more  NIPS 2004»
    Hierarchical Bayesian Inference in Networks of Spiking Neurons
    13 years 9 months ago
    Hierarchical Bayesian Inference in Networks of Spiking Neurons
    Download  books.nips.cc
    There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
    Rajesh P. N. Rao
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    NIPS
    2008
    162views Information Technology» more  NIPS 2008»
    Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
    13 years 9 months ago
    Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
    Download  www.cs.berkeley.edu
    Many nonlinear dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
    Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
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    IJAR
    2000
    140views more  IJAR 2000»
    Belief updating in multiply sectioned Bayesian networks without repeated local propagations
    13 years 7 months ago
    Belief updating in multiply sectioned Bayesian networks without repeated local propagations
    Download  www.cis.uoguelph.ca
    Multiply sectioned Bayesian networks (MSBNs) provide a coherent and flexible formalism for representing uncertain knowledge in large domains. Global consistency among subnets in a...
    Yang Xiang
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 9 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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