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    CCR
    2006
    114views more  CCR 2006»
    A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    15 years 6 months ago
    A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
    Download  ccr.sigcomm.org
    The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
    Nigel Williams, Sebastian Zander, Grenville J. Arm...
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    NIPS
    1998
    156views Information Technology» more  NIPS 1998»
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    15 years 8 months ago
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
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    The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
    Zoubin Ghahramani, Sam T. Roweis
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    ICML
    2004
    IEEE
    118views Machine Learning» more  ICML 2004»
    A multiplicative up-propagation algorithm
    16 years 7 months ago
    A multiplicative up-propagation algorithm
    Download  www.postech.ac.kr
    We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
    Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
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    WSC
    2008
    156views Modeling And Simulation» more  WSC 2008»
    A modeling-based classification algorithm validated with simulated data
    15 years 9 months ago
    A modeling-based classification algorithm validated with simulated data
    Download  www.informs-sim.org
    We present a Generalized Lotka-Volterra (GLV) based approach for modeling and simulation of supervised inductive learning, and construction of an efficient classification algorith...
    Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
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    PRL
    2000
    58views more  PRL 2000»
    Learning mixture models using a genetic version of the EM algorithm
    15 years 6 months ago
    Learning mixture models using a genetic version of the EM algorithm
    Download  www.cvc.uab.es
    The need to
    Aleix M. Martínez, Jordi Vitrià
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