245 search results - page 40 / 49 » Introducing the User-over-Ranking Hypothesis |
118
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TNN
2010
14 years 6 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
CORR
2011
Springer
14 years 3 months ago
2011
Springer
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
181
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TMA
2012
Springer
13 years 7 months ago
2012
Springer
Experimental network research is subject to challenges since the experiment outcomes can be influenced by undesired effects from other activities in the network. In shared experi...
101
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ACISP
2001
Springer
15 years 4 months ago
2001
Springer
Abstract. Many algorithmic problems, which are used to prove the security of a cryptographic system, are shown to be characterized as the subgroup membership problem. We then apply...
103
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BMCBI
2006
14 years 11 months ago
2006
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...