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    ESSMAC
    2003
    Springer
    136views Intelligent Agents» more  ESSMAC 2003»
    An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning
    15 years 11 months ago
    An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning
    Download  wwwbrauer.informatik.tu-muenchen.de
    Volker Tresp, Kai Yu
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    ICANN
    2009
    Springer
    254views Neural Networks» more  ICANN 2009»
    Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
    15 years 10 months ago
    Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
    Download  www-users.cs.york.ac.uk
    Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
    Adrian G. Bors, Nikolaos Nasios
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    CIBCB
    2009
    IEEE
    146views Computational Biology» more  CIBCB 2009»
    Performance prediction for RNA design using parametric and non-parametric regression models
    15 years 7 months ago
    Performance prediction for RNA design using parametric and non-parametric regression models
    Download  www.sfu.ca
    Denny C. Dai, Kay C. Wiese
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    NECO
    2007
    71views more  NECO 2007»
    Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression
    15 years 5 months ago
    Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression
    Download  donoghue.neuro.brown.edu
    Wilson Truccolo, John P. Donoghue
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    CSSC
    2010
    95views more  CSSC 2010»
    An EM and a Stochastic Version of the EM Algorithm for Nonparametric Hidden Semi-Markov Models
    15 years 4 months ago
    An EM and a Stochastic Version of the EM Algorithm for Nonparametric Hidden Semi-Markov Models
    Download  www.tara.tcd.ie
    Sonia Malefaki, Samis Trevezas, Nikolaos Limnios
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