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    UAI
    1996
    108views Artificial Intelligence» more  UAI 1996»
    Learning Bayesian Networks with Local Structure
    13 years 9 months ago
    Learning Bayesian Networks with Local Structure
    Download  robotics.stanford.edu
    In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
    Nir Friedman, Moisés Goldszmidt
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    DSN
    2007
    IEEE
    137views Computer Networks» more  DSN 2007»
    Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
    14 years 1 months ago
    Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
    Download  srel.ee.duke.edu
    In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
    Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    ICTAI
    2006
    IEEE
    110views Artificial Intelligence» more  ICTAI 2006»
    Belief Update in Bayesian Networks Using Uncertain Evidence
    14 years 1 months ago
    Belief Update in Bayesian Networks Using Uncertain Evidence
    Download  www.cs.umbc.edu
    This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...
    Rong Pan, Yun Peng, Zhongli Ding
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    BICOB
    2009
    Springer
    164views Computational Biology» more  BICOB 2009»
    A Bayesian Approach to High-Throughput Biological Model Generation
    14 years 2 months ago
    A Bayesian Approach to High-Throughput Biological Model Generation
    Download  www.mcs.anl.gov
    Abstract. With the availability of hundreds and soon-to-be thousands of complete genomes, the construction of genome-scale metabolic models for these organisms has attracted much a...
    Xinghua Shi, Rick L. Stevens
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