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    ICASSP
    2011
    IEEE
    197views Signal Processing» more  ICASSP 2011»
    Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
    13 years 1 months ago
    Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
    Download  mirlab.org
    We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
    Cornelia Vacar, Jean-François Giovannelli, ...
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    ICML
    2008
    IEEE
    241views Machine Learning» more  ICML 2008»
    Discriminative structure and parameter learning for Markov logic networks
    14 years 10 months ago
    Discriminative structure and parameter learning for Markov logic networks
    Download  www.cs.utexas.edu
    Tuyen N. Huynh, Raymond J. Mooney
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    ICPR
    2008
    IEEE
    94views Computer Vision» more  ICPR 2008»
    Classification method for microarray probe selection using sequence, thermodynamics and secondary structure parameters
    14 years 4 months ago
    Classification method for microarray probe selection using sequence, thermodynamics and secondary structure parameters
    Download  figment.cse.usf.edu
    Lalit Gupta, Sunil Kumar, Randeep Singh, Shaik Raf...
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    NECO
    2006
    57views more  NECO 2006»
    Parameter Space Structure of Continuous-Time Recurrent Neural Networks
    13 years 9 months ago
    Parameter Space Structure of Continuous-Time Recurrent Neural Networks
    Download  vorlon.case.edu
    Randall D. Beer
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    UAI
    2000
    127views Artificial Intelligence» more  UAI 2000»
    Utilities as Random Variables: Density Estimation and Structure Discovery
    13 years 11 months ago
    Utilities as Random Variables: Density Estimation and Structure Discovery
    Download  ai.stanford.edu
    Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
    Urszula Chajewska, Daphne Koller
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