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    IJDET
    2010
    130views more  IJDET 2010»
    A Unified Learning Style Model for Technology-Enhanced Learning: What, Why and How?
    13 years 6 months ago
    A Unified Learning Style Model for Technology-Enhanced Learning: What, Why and How?
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    : This paper deals with the use of learning styles in technology-enhanced learning, by introducing a so-called "Unified Learning Style Model" (ULSM). The article aims at ...
    Elvira Popescu
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    IMCSIT
    2010
    142views Information Technology» more  IMCSIT 2010»
    On the Numerical Analysis of Stochastic Lotka-Volterra Models
    13 years 6 months ago
    On the Numerical Analysis of Stochastic Lotka-Volterra Models
    Download  www.proceedings2010.imcsit.org
    The stochastic Lotka-Volterra model is an infinite Markov population model that has applications in various life science domains. Its analysis is challenging since, besides an infi...
    Tugrul Dayar, Linar Mikeev, Verena Wolf
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    IJON
    2000
    85views more  IJON 2000»
    Hebbian learning and temporary storage in the convergence-zone model of episodic memory
    13 years 8 months ago
    Hebbian learning and temporary storage in the convergence-zone model of episodic memory
    Download  cogprints.org
    The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
    Michael Howe, Risto Miikkulainen
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    ICASSP
    2011
    IEEE
    238views Signal Processing» more  ICASSP 2011»
    A robust lip tracking algorithm using localized color active contours and deformable models
    13 years 24 days ago
    A robust lip tracking algorithm using localized color active contours and deformable models
    Download  www.comp.hkbu.edu.hk
    Lip tracking is crucial to the success of a lipreading recognition system. This paper presents a robust lip tracking algorithm using localized color active contours and deformable...
    Xin Liu, Yiu-ming Cheung
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    AEI
    1999
    110views more  AEI 1999»
    Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
    13 years 8 months ago
    Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
    Download  www.his.se
    This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
    Duc Truong Pham, Dervis Karaboga
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