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    NC
    2006
    132views Neural Networks» more  NC 2006»
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    13 years 9 months ago
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    Download  bura.brunel.ac.uk
    Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
    Stephen Swift, Joost N. Kok, Xiaohui Liu
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    JASIS
    2010
    121views more  JASIS 2010»
    Linear time series models for term weighting in information retrieval
    13 years 8 months ago
    Linear time series models for term weighting in information retrieval
    Download  people.lis.illinois.edu
    Common measures of term importance in information retrieval (IR) rely on counts of term frequency; rare terms receive higher weight in document ranking than common terms receive. ...
    Miles Efron
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    ESANN
    1998
    170views Neural Networks» more  ESANN 1998»
    Recurrent SOM with local linear models in time series prediction
    13 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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    CSDA
    2008
    110views more  CSDA 2008»
    Computing and using residuals in time series models
    13 years 9 months ago
    Computing and using residuals in time series models
    Download  www.ucm.es
    The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
    José Alberto Mauricio
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    ICCV
    2009
    IEEE
    638views Computer Vision» more  ICCV 2009»
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    15 years 2 months ago
    Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
    Download  eecs.ucf.edu
    We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
    Arslan Basharat, Mubarak Shah
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