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» Making generative classifiers robust to selection bias
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149
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AI
2002
Springer
15 years 8 days ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
ICCD
2008
IEEE
165views Hardware» more  ICCD 2008»
15 years 9 months ago
Analysis and minimization of practical energy in 45nm subthreshold logic circuits
Abstract— Over the last decade, the design of ultra-lowpower digital circuits in subthreshold regime has been driven by the quest for minimum energy per operation. In this contri...
David Bol, Renaud Ambroise, Denis Flandre, Jean-Di...
119
Voted
BMCBI
2007
145views more  BMCBI 2007»
15 years 12 days ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...
CEAS
2008
Springer
15 years 2 months ago
Detecting Known and New Salting Tricks in Unwanted Emails
Spam and phishing emails are not only annoying to users, but are a real threat to internet communication and web economy. The fight against unwanted emails has become a cat-and-mo...
André Bergholz, Gerhard Paass, Frank Reicha...
BMCBI
2006
115views more  BMCBI 2006»
15 years 14 days ago
SimArray: a user-friendly and user-configurable microarray design tool
Background: Microarrays were first developed to assess gene expression but are now also used to map protein-binding sites and to assess allelic variation between individuals. Rega...
Richard P. Auburn, Roslin R. Russell, Bettina Fisc...