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  • John M. Winn, Charles M. Bishop
  • Mathematics, Computer Science
  • J. Mach. Learn. Res.
  • 2005 (First Publication: 1 December 2005)
  • Bayesian inference is now widely established as one of the principal foundations for machine learning. In practice, exact inference is rarely possible, and so a variety of approximation techniquesExpand
  • Oliver Stegle, Leopold Parts, Richard Durbin, John M. Winn
  • Medicine, Computer Science, Biology
  • PLoS Computational Biology
  • 2010 (First Publication: 1 May 2010)
  • Gene expression measurements are influenced by a wide range of factors, such as the state of the cell, experimental conditions and variants in the sequence of regulatory regions. To understand theExpand
  • John M. Winn
  • The Lancet
  • 1978 (First Publication: 1 October 1878)
  • Browne, Lockhart Clarke, Kesteven, Moxon, &c., the journal cannot fail to secure the support of the profession. With the exception of one or two articles, those which have already appeared are of anExpand