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188
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JMLR
2002
15 years 5 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
186
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IMC
2006
ACM
16 years 6 days ago
2006
ACM
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
172
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
We develop sub-Nyquist sampling systems for analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions. Efficient sam...
188
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BMCBI
2007
15 years 6 months ago
2007
Background: The post-genomic era is characterised by a torrent of biological information flooding the public databases. As a direct consequence, similarity searches starting with ...
195
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JCB
2002
15 years 5 months ago
2002
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...