@MISC\{IMM2006-04815,
    author       = "J. Larsen",
    title        = "Basics of Bayesian Learning - Basically Bayes",
    year         = "2006",
    month        = "sep",
    keywords     = "bayes learning, generalization, model evaluation",
    publisher    = "Informatics and Mathematical Modelling, Technical University of Denmark",
    address      = "Richard Petersens Plads, Building 321, {DK-}2800 Kongens Lyngby",
    note         = "Tutorial presented at the  {IEEE} Machine Learning for Signal Processing Workshop 2006, Maynooth, Ireland, September {8,} 2006",
    url          = "http://mlsp2006.conwiz.dk/index.php?id=16",
    abstract     = "Tutorial presented at the {IEEE} Machine Learning for Signal Processing Workshop 2006, Maynooth, Ireland, September {8,} 2006.
The tutorial focuses on the basic elements of Bayesian learning and its relation to classical learning paradigms. This includes a critical discussion of the pros and cons. The theory is illustrated by specific models and examples."
}