Lynx

Lynx tackles the problem of multi-class relational (sequence) learning using relevant patterns discovered from a set of labelled examples.

Downloads

Lynx source code (Yap Prolog language)

• Version 1.3 (released 8/11/2011)
• Version 1.2 (released 12/7/2011)
• Version 1.0 (released 4/5/2010)

License for Lynx

Copyright 2010-11 Università degli Studi di Bari "Aldo Moro", Department of Computer Science

The Lynx Software is made available under the terms and conditions of the Artistic License 2.0. LICENSEE shall acknowledge Università degli Studi di Bari "Aldo Moro" as the provider of the Software, and shall include a reference in any manuscript describing results obtained using the Lynx Software.

References

• N. Di Mauro, T. M.A. Basile, S. Ferilli and F. Esposito. Optimizing Probabilistic Models for Relational Sequence Learning. In 19th International Symposium on Methodologies for Intelligent Systems, pp. 240–249, Springer, 2011.
• N. Di Mauro, T.M.A. Basile, S. Ferilli and F. Esposito, Feature Construction for Relational Sequence Learning, arXiv:1006.5188, 2010
• F. Esposito, N. Di Mauro, T.M.A. Basile and S. Ferilli. Multi-Dimensional Relational Sequence Mining. Fundamenta Informaticae, 89(1):23–43, IOS Press, 2008.

Contact

Nicola Di Mauro