CSE423 Learning and prediction

David Dowe and Lloyd Allison

Topics include: elementary information theory (including noiseless coding and Huffman codes); elementary foundations of inductive inference; introduction to Minimum Message Length (MML) inference; MML approaches to clustering, unsupervised classification, decision trees, causal modelling, data mining. Applications to be considered include: image compression, models of protein folding, bushfire prediction, DNA alignment and the human genome project, authorship identification for texts, etc.

Back to 2001 Honours subjects