Knowledge Base

Home  Search   Show all  Top

Details of the record

titleBayesian inference: An introduction to principles and practice in machine learning
authorsMichael E. Tipping
abstractThis article gives a basic introduction to the principles of Bayesian inference in a machine learning context, with an emphasis on the importance of marginalisation for dealing with uncertainty. We begin by illustrating concepts via a simple regression task before relating ideas to practical, contemporary, techniques with a description of `sparse Bayesian' models and the `relevance vector machine'.
journalAdvanced Lectures on Machine Learning
published year
(Total records:1429)
Home  Search   Show all  Top

Powered by: DaDaBIK