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    IDA
    2003
    Springer
    119views Information Technology» more  IDA 2003»
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    13 years 9 months ago
    Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
    Download  people.brunel.ac.uk
    Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
    Allan Tucker, Xiaohui Liu
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    ICML
    2007
    IEEE
    165views Machine Learning» more  ICML 2007»
    Modeling changing dependency structure in multivariate time series
    14 years 5 months ago
    Modeling changing dependency structure in multivariate time series
    Download  www.machinelearning.org
    We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
    Xiang Xuan, Kevin P. Murphy
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    AINA
    2008
    IEEE
    279views Computer Networks» more  AINA 2008»
    Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
    13 years 10 months ago
    Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
    Download  tintin.sfsu.edu
    The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
    Connie Phong, Raul Singh
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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 5 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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    UAI
    1998
    135views Artificial Intelligence» more  UAI 1998»
    A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
    13 years 5 months ago
    A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
    Download  www.broadinstitute.org
    In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
    Stefano Monti, Gregory F. Cooper
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