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Lecture Notes
699views
17 years 22 days ago
Density Estimation: Nonparametric Techniques
Density estimation using nonparametric techniques by Aly A. Farag and Gimel'farb.
Aly A. Farag, Gimel'farb
94
Voted
IJPRAI
1998
100views more  IJPRAI 1998»
14 years 11 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
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
108
Voted
MCFNS
2010
168views more  MCFNS 2010»
14 years 6 months ago
Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
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
ICMLA
2007
15 years 1 months ago
Estimating class probabilities in random forests
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
ICANN
2009
Springer
15 years 3 months ago
Classification Based on Combination of Kernel Density Estimators
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