Applications and Datasets



This page presents various applications of Machine Learning (especially ILP) with which present and past members of the Computing Laboratory have been associated. A number of people have been involved in developing each application. In particular, we acknowledge here the groups headed by Ivan Bratko, Doug Bristol, Paul Finn, Ross King, Stephen Muggleton, David Page, Chris Rawlings, Ian Sargent, Michael Sternberg, and Richard Stevens. Each application has involved the construction of one or more datasets, used as input  for several programs.  Where possible, we are making these available to those wishing to compare and evaluate different machine learning techniques. You can therefore read these pages both for information about how Machine Learning is used, or because you want to download a dataset.

Each applications page contains a brief introduction to the application. This is followed by a more detailed account which describes how the examples being learnt from are represented using predicates. The page will contain links to our FTP site via which you can download the appropriate dataset. A few pages may have datasets for more than one system.  Usually, the page also references the original papers for our experiments with the dataset, and points to LaTeX and PostScript README files which are similar in content to the page. Most of the datasets are stored as compressed TAR files.

The applications

Datasets may also be available from other Machine Learning groups
Machine Learning  at the Computing Lab  

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