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» Robust multichannel sampling
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WWW
2009
ACM
15 years 10 months ago
Link based small sample learning for web spam detection
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
Guanggang Geng, Qiudan Li, Xinchang Zhang
IMC
2005
ACM
15 years 3 months ago
Optimal Combination of Sampled Network Measurements
IP network traffic is commonly measured at multiple points in order that all traffic passes at least one observation point. The resulting measurements are subsequently joined fo...
Nick G. Duffield, Carsten Lund, Mikkel Thorup
ECSQARU
2003
Springer
15 years 3 months ago
Decision Making Based on Sampled Disease Occurrence in Animal Herds
To make qualified decisions when extrapolating results from a survey sample with imprecise tests requires careful handling of uncertainty. Both the imprecise test and uncertainty ...
Michael Höhle, Erik Jørgensen
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
14 years 7 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
ICIP
2004
IEEE
15 years 11 months ago
Optimized space sampling for circular image cube trajectory analysis
Image Cube Trajectory (ICT) analysis is a new and robust method to estimate the 3D structure of a scene from a set of 2D images. The motion of points in 3D space is represented by...
Ingo Feldmann, Peter Kauff, Peter Eisert