CSSE / Monash CSE423
Learning and prediction
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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.

Last updated 26.09.01 03:37:30 PM (K Fenwick) - Subject to change by the lecturer concerned.

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Last updated: 26/09/2001