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    WSC
    1998
    124views Modeling And Simulation» more  WSC 1998»
    Adaptive Stochastic Manpower Scheduling
    13 years 9 months ago
    Adaptive Stochastic Manpower Scheduling
    Download  www.informs-sim.org
    Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
    Elmira Popova, David P. Morton
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    SIBGRAPI
    2008
    IEEE
    124views Computer Graphics» more  SIBGRAPI 2008»
    Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
    14 years 2 months ago
    Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
    Download  sibgrapi.sid.inpe.br
    Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
    Damian E. Oliva, Roberto A. Isoardi, Germán...
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    NIPS
    2004
    119views Information Technology» more  NIPS 2004»
    Outlier Detection with One-class Kernel Fisher Discriminants
    13 years 9 months ago
    Outlier Detection with One-class Kernel Fisher Discriminants
    Download  books.nips.cc
    The problem of detecting "atypical objects" or "outliers" is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this...
    Volker Roth
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    RECSYS
    2009
    ACM
    141views Control Systems» more  RECSYS 2009»
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    14 years 2 months ago
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    Download  pages.stern.nyu.edu
    Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
    Akhmed Umyarov, Alexander Tuzhilin
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    PAMI
    2006
    215views more  PAMI 2006»
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    13 years 7 months ago
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    Download  www.cs.uoi.gr
    We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
    Constantinos Constantinopoulos, Michalis K. Titsia...
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