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...
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...
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...
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...
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...