PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Basics of bayesian learning - basically bayes
Jan Larsen
In: IEEE Workshop on Machine Learning for Signal Processing 2006, 6-8 Sep 2006, Maynooth, Ireland.

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.

Other (ZIP)
EPrint Type:Conference or Workshop Item (Tutorial)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:830
Deposited By:Jan Larsen
Deposited On:11 February 2008