1950 search results - page 28 / 390 » Informative sampling for large unbalanced data sets |
JMLR
2002
13 years 7 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...
DCC
2010
IEEE
14 years 2 months ago
2010
IEEE
We introduce Xampling, a design methodology for analog compressed sensing in which we sample analog bandlimited signals at rates far lower than Nyquist, without loss of informatio...
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. A system of nested dichotomies is a hierarchical decomposition of a multi-class problem with c classes into c − 1 two-class problems and can be represented as a tree st...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, an approach based on the combination of discrete Hidden Markov Models (HMMs) in the ROC space is proposed to improve the performance of off-line signature verificat...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...