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    AAAI
    2006
    165views Intelligent Agents» more  AAAI 2006»
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    13 years 6 months ago
    Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
    Download  www.aaai.org
    The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
    David Wingate, Satinder P. Singh
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    ICML
    2006
    IEEE
    180views Machine Learning» more  ICML 2006»
    Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
    14 years 5 months ago
    Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
    Download  www.eecs.umich.edu
    The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
    David Wingate, Satinder P. Singh
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    ICML
    2006
    IEEE
    137views Machine Learning» more  ICML 2006»
    Predictive linear-Gaussian models of controlled stochastic dynamical systems
    14 years 5 months ago
    Predictive linear-Gaussian models of controlled stochastic dynamical systems
    Download  www.rudary.com
    We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
    Matthew R. Rudary, Satinder P. Singh
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    BC
    2002
    91views more  BC 2002»
    Linear combinations of nonlinear models for predicting human-machine interface forces
    13 years 4 months ago
    Linear combinations of nonlinear models for predicting human-machine interface forces
    Download  www.smpp.northwestern.edu
    ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
    James L. Patton, Ferdinando A. Mussa-Ivaldi
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    PAMI
    2008
    140views more  PAMI 2008»
    Simplifying Mixture Models Using the Unscented Transform
    13 years 4 months ago
    Simplifying Mixture Models Using the Unscented Transform
    Download  eprints.pascal-network.org
    Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
    Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
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