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    » Learning Nonlinear Dynamical Systems Using an EM Algorithm
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    ICASSP
    2011
    IEEE
    143views Signal Processing» more  ICASSP 2011»
    Estimation of cortical connectivity from E/MEG using nonlinear state-space models
    12 years 9 months ago
    Estimation of cortical connectivity from E/MEG using nonlinear state-space models
    Download  mirlab.org
    We present the problem of estimating cortical connectivity between different regions of the cortex from scalp electroencephalographic (EEG) or magnetoencephalographic (MEG) data a...
    Bing Leung, Patrick Cheung, Barry D. Van Veen
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    ICASSP
    2009
    IEEE
    136views Signal Processing» more  ICASSP 2009»
    A variational EM algorithm for learning eigenvoice parameters in mixed signals
    14 years 15 days ago
    A variational EM algorithm for learning eigenvoice parameters in mixed signals
    Download  www.ee.columbia.edu
    We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
    Ron J. Weiss, Daniel P. W. Ellis
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    AGI
    2011
    219views Artificial Intelligence» more  AGI 2011»
    Nonlinear-Dynamical Attention Allocation via Information Geometry
    12 years 9 months ago
    Nonlinear-Dynamical Attention Allocation via Information Geometry
    Download  faculty.adams.edu
    Inspired by a broader perspective viewing intelligent system dynamics in terms of the geometry of “cognitive spaces,” we conduct a preliminary investigation of the application ...
    Matthew Iklé, Ben Goertzel
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    JMLR
    2010
    136views more  JMLR 2010»
    Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
    13 years 17 days ago
    Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
    Download  jmlr.csail.mit.edu
    Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
    Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
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    JMLR
    2010
    103views more  JMLR 2010»
    Learning Nonlinear Dynamic Models from Non-sequenced Data
    13 years 17 days ago
    Learning Nonlinear Dynamic Models from Non-sequenced Data
    Download  www.cs.cmu.edu
    Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
    Tzu-Kuo Huang, Le Song, Jeff Schneider
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