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ECIR
2003
Springer
15 years 2 months ago
Representative Sampling for Text Classification Using Support Vector Machines
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi W...
CIKM
2010
Springer
14 years 10 months ago
Online stratified sampling: evaluating classifiers at web-scale
Deploying a classifier to large-scale systems such as the web requires careful feature design and performance evaluation. Evaluation is particularly challenging because these larg...
Paul N. Bennett, Vitor R. Carvalho
118
Voted
COMSNETS
2012
183views more  COMSNETS 2012»
13 years 8 months ago
Effects of network trace sampling methods on privacy and utility metrics
—Researchers choosing to share wireless-network traces with colleagues must first anonymize sensitive information, trading off the removal of information in the interest of iden...
Phil Fazio, Keren Tan, David Kotz
75
Voted
CORR
2010
Springer
72views Education» more  CORR 2010»
14 years 11 months ago
A Generalized Sampling Theorem for Reconstructions in Arbitrary Bases
—We present a generalized sampling theorem allowing reconstructions in arbitrary bases. The classical Shannon Sampling Theorem is a special case of our theorem. Specifically, we...
Ben Adcock, Anders C. Hansen
107
Voted
CORR
2007
Springer
92views Education» more  CORR 2007»
15 years 18 days ago
Revisiting the Issues On Netflow Sample and Export Performance
The high volume of packets and packet rates of traffic on some router links makes it exceedingly difficult for routers to examine every packet in order to keep detailed statistics ...
Hamed Haddadi, Raul Landa, Miguel Rio, Saleem N. B...