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    » Learning nonlinear dynamic models
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    AAAI
    2007
    88views Intelligent Agents» more  AAAI 2007»
    Continuous State POMDPs for Object Manipulation Tasks
    13 years 10 months ago
    Continuous State POMDPs for Object Manipulation Tasks
    Download  www.aaai.org
    My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
    Emma Brunskill
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    ICML
    2007
    IEEE
    127views Machine Learning» more  ICML 2007»
    Nonlinear independent component analysis with minimal nonlinear distortion
    14 years 9 months ago
    Nonlinear independent component analysis with minimal nonlinear distortion
    Download  www.machinelearning.org
    Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
    Kun Zhang, Laiwan Chan
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    SPEECH
    1998
    118views more  SPEECH 1998»
    Dimensionality reduction of electropalatographic data using latent variable models
    13 years 8 months ago
    Dimensionality reduction of electropalatographic data using latent variable models
    Download  faculty.ucmerced.edu
    We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
    Miguel Á. Carreira-Perpiñán, ...
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    ICML
    2009
    IEEE
    166views Machine Learning» more  ICML 2009»
    Analytic moment-based Gaussian process filtering
    14 years 9 months ago
    Analytic moment-based Gaussian process filtering
    Download  isas.uka.de
    We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
    Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hane...
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    NIPS
    1998
    117views Information Technology» more  NIPS 1998»
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    13 years 9 months ago
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    Download  www.gatsby.ucl.ac.uk
    We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
    Thomas Briegel, Volker Tresp
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