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» Input Modeling Using Quantile Statistical Methods
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ICASSP
2011
IEEE
13 years 1 months ago
Statistical analysis of multi-channel detection using data from airborne AESA radar
We investigate the ground clutter homogeneity and target detection performance using airborne multi-channel AESA (Active Electronically Scanned Array) radar data from flight trial...
Johan Degerman, Thomas Pernstal, Magnus Gisselfalt...
SIGIR
2006
ACM
14 years 4 months ago
Statistical precision of information retrieval evaluation
We introduce and validate bootstrap techniques to compute confidence intervals that quantify the effect of test-collection variability on average precision (AP) and mean average...
Gordon V. Cormack, Thomas R. Lynam
ICPR
2008
IEEE
14 years 11 months ago
Kernel bandwidth estimation in methods based on probability density function modelling
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Adrian G. Bors, Nikolaos Nasios
COLING
2000
13 years 11 months ago
A Hybrid Japanese Parser with Hand-crafted Grammar and Statistics
This paper describes a hybrid parsing method for Japanese which uses both a hand-crafted grammar and a statistical technique. The key feature of our system is that in order to est...
Hiroshi Kanayama, Kentaro Torisawa, Yutaka Mitsuis...
BMCBI
2007
128views more  BMCBI 2007»
13 years 10 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini