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    FLAIRS
    2003
    133views Artificial Intelligence» more  FLAIRS 2003»
    An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
    13 years 6 months ago
    An Extension of the Differential Approach for Bayesian Network Inference to Dynamic Bayesian Networks
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    We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
    Boris Brandherm
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    UAI
    2000
    103views Artificial Intelligence» more  UAI 2000»
    A Differential Approach to Inference in Bayesian Networks
    13 years 6 months ago
    A Differential Approach to Inference in Bayesian Networks
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    Adnan Darwiche
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    BMCBI
    2007
    164views more  BMCBI 2007»
    Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
    13 years 5 months ago
    Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
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    Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
    Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
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    SDM
    2009
    SIAM
    208views Data Mining» more  SDM 2009»
    A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
    14 years 2 months ago
    A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
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    Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
    Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
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    AAAI
    2006
    101views Intelligent Agents» more  AAAI 2006»
    Performing Incremental Bayesian Inference by Dynamic Model Counting
    13 years 6 months ago
    Performing Incremental Bayesian Inference by Dynamic Model Counting
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    The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
    Wei Li 0002, Peter van Beek, Pascal Poupart
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