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    SDM
    2012
    SIAM
    355views Data Mining» more  SDM 2012»
    Granger Causality Analysis in Irregular Time Series
    13 years 1 days ago
    Granger Causality Analysis in Irregular Time Series
    Download  www-scf.usc.edu
    Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
    Mohammad Taha Bahadori, Yan Liu
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    BMCBI
    2008
    148views more  BMCBI 2008»
    BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
    14 years 9 months ago
    BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
    Download  www.na.iac.cnr.it
    Summary: BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in ...
    Claudia Angelini, Luisa Cutillo, Daniela De Candit...
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    FLAIRS
    2009
    146views Artificial Intelligence» more  FLAIRS 2009»
    Multiagent Bayesian Forecasting of Time Series with Graphical Models
    14 years 7 months ago
    Multiagent Bayesian Forecasting of Time Series with Graphical Models
    Download  www.cis.uoguelph.ca
    Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
    Yang Xiang, James Smith, Jeff Kroes
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    IS
    2008
    348views Artificial Intelligence» more  IS 2008»
    A dimensionality reduction technique for efficient time series similarity analysis
    14 years 9 months ago
    A dimensionality reduction technique for efficient time series similarity analysis
    Download  dblab.mgt.ncu.edu.tw
    We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
    Qiang Wang, Vasileios Megalooikonomou
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    ESANN
    1998
    170views Neural Networks» more  ESANN 1998»
    Recurrent SOM with local linear models in time series prediction
    14 years 11 months ago
    Recurrent SOM with local linear models in time series prediction
    Download  www.dice.ucl.ac.be
    Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
    Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
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