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» Symbolic Test Selection Based on Approximate Analysis
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WSC
2000
13 years 9 months ago
Experimental performance evaluation of batch means procedures for simulation output analysis
We summarize the results of an extensive experimental performance evaluation of selected batch means procedures for building a confidence interval for a steady-state expected simu...
Natalie M. Steiger, James R. Wilson
ICPR
2004
IEEE
14 years 8 months ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou
PICS
2003
13 years 9 months ago
Selection of Training Sets for the Characterisation of Multispectral Imaging Systems
To establish a correlation between the system output and the corresponding reflectance, the system characterisation functionDeriving the actual multispectral data from the output o...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
BMCBI
2008
155views more  BMCBI 2008»
13 years 7 months ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
JMLR
2002
115views more  JMLR 2002»
13 years 7 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger