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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 8 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 7 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 4 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 2 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 1 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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