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    Lecture Notes
    699views
    Density Estimation: Nonparametric Techniques
    15 years 5 months ago
    Density Estimation: Nonparametric Techniques
    Download  www.cvip.uofl.edu
    Density estimation using nonparametric techniques by Aly A. Farag and Gimel'farb.
    Aly A. Farag, Gimel'farb
    posted by msabry
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    IJPRAI
    1998
    100views more  IJPRAI 1998»
    Obtaining The Correspondence between Bayesian and Neural Networks
    13 years 4 months ago
    Obtaining The Correspondence between Bayesian and Neural Networks
    Download  homepages.inf.ed.ac.uk
    We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
    Athena Stassopoulou, Maria Petrou
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    MCFNS
    2010
    168views more  MCFNS 2010»
    Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
    12 years 11 months ago
    Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
    Download  www.faculty.sfasu.edu
    Recent advances in LiDAR (Light Detection and Ranging) technology have allowed for the remote sensing of important forest characteristics to be more reliable and commercially avail...
    John Chapman, I.-Kuai Hung, Jeff Tippen
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    ICMLA
    2007
    218views Machine Learning» more  ICMLA 2007»
    Estimating class probabilities in random forests
    13 years 6 months ago
    Estimating class probabilities in random forests
    Download  people.dsv.su.se
    For both single probability estimation trees (PETs) and ensembles of such trees, commonly employed class probability estimates correct the observed relative class frequencies in e...
    Henrik Boström
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    ICANN
    2009
    Springer
    166views Neural Networks» more  ICANN 2009»
    Classification Based on Combination of Kernel Density Estimators
    13 years 8 months ago
    Classification Based on Combination of Kernel Density Estimators
    Download  www.mini.pw.edu.pl
    Abstract. A new classification algorithm based on combination of kernel density estimators is introduced. The method combines the estimators with different bandwidths what can be i...
    Mateusz Kobos, Jacek Mandziuk
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