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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
    15 years 6 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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    COMPSAC
    2009
    IEEE
    109views Software Engineering» more  COMPSAC 2009»
    A Survey of Physiological Monitoring Data Models to Support the Service of Critical Care
    15 years 2 months ago
    A Survey of Physiological Monitoring Data Models to Support the Service of Critical Care
    Download  www.mendeley.com
    Vast quantities of data is created by utilizing sensors to gather information from patients located in intensive care units worldwide through physiological monitoring. The service ...
    Carolyn McGregor, Kathleen P. Smith
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    IPMI
    2001
    Springer
    122views Medical Imaging» more  IPMI 2001»
    Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
    16 years 6 months ago
    Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
    Download  sip.eng.uci.edu
    Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
    Frithjof Kruggel, Habib Benali, Mélanie P&e...
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    ISBI
    2002
    IEEE
    179views Medical Imaging» more  ISBI 2002»
    Joint estimation of cardiac kinematics and material parameters from noisy imaging data and uncertain mechanical model
    16 years 5 months ago
    Joint estimation of cardiac kinematics and material parameters from noisy imaging data and uncertain mechanical model
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    There have been many efforts using image analysis algorithms to study cardiac kinematics, or using biomechanics strategies to study myocardial material properties. In this paper, ...
    Huafeng Liu, Edward W. B. Lo, Pengcheng Shi
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    COLT
    2005
    Springer
    94views Machine Learning» more  COLT 2005»
    Separating Models of Learning from Correlated and Uncorrelated Data
    15 years 10 months ago
    Separating Models of Learning from Correlated and Uncorrelated Data
    Download  jmlr.csail.mit.edu
    We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
    Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...
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