University of Cambridge > Talks.cam > Computer Laboratory Wednesday Seminars > Structured Hidden Markov Model: A General Tool for Analysing Sequential data

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

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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 Computer Laboratory Wednesday Seminars series.

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