Chris Bishop
ANC, Informatics,University of Edinburgh & Microsoft
Research, Cambridge
Adaptive Computing
Abstract
Traditionally we think of logic as forming the mathematical
basis for computer technology. Increasingly, however, we are forced
to deal with highly complex problems in which uncertainty prevails.
Examples include novel computer input methods such as vision, speech
and handwriting; intelligent interfaces which attempt to model and
forecast user actions; and the retrieval and interpretation of
information from large data sets such as the world-wide web. Probability
theory represents a consistent framework for quantifying uncertainty.
This talk will introduce the basic concepts of probabilistic
inference, and show how they can be exploited in a range of practical
applications.
