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CSDA
2008
84views more  CSDA 2008»
13 years 7 months ago
Bayesian spatial prediction of the site index in the study of the Missouri Ozark Forest Ecosystem Project
This paper presents a Bayesian spatial method for analysing the site index data from the Missouri Ozark Forest Ecosystem Project (MOFEP). Based on ecological background and availa...
Xiaoqian Sun, Zhuoqiong He, John Kabrick
CSDA
2004
188views more  CSDA 2004»
13 years 7 months ago
A bandwidth selection for kernel density estimation of functions of random variables
In this investigation, the problem of estimating the probability density function of a function of m independent identically distributed random variables, g(X1, X2, ..., Xm) is co...
A. R. Mugdadi, Ibrahim A. Ahmad
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 2 months ago
Isolation Forest
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
FUIN
2010
268views more  FUIN 2010»
13 years 2 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
CVPR
2009
IEEE
15 years 2 months ago
Class-Specific Hough Forests for Object Detection
We present a method for the detection of instances of an object class, such as cars or pedestrians, in natural images. Similarly to some previous works, this is accomplished via ...
Juergen Gall, Victor S. Lempitsky