Structured Hidden Markov Model: A General Tool for Analysing Sequential data

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• Marco Botta - University of Torino
• Wednesday 21 January 2009, 14:15-15:15
• Lecture Theatre 1, Computer Laboratory.

If you have a question about this talk, please contact Mateja Jamnik.

Structered Hidden Markov Models are a restricted form of Hierarchical Hidden Markov Models as introduced by Fine, Singer & Yoram. I will introduce their properties, a methodology for automatically build them from sequential data and present some experimental results and possible applications.

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

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