A generative-discriminative framework for time-series data classification
This thesis targets the problem of poor performance of HMM-based classifiers. First, we study the effect of the structure on the performance of HMMs and see how the number of states and the topology can contribute to the classification performance. As a result, our investigation showed the topology...
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2003
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| Online Access: | http://spectrum.library.concordia.ca/2392/1/MQ90984.pdf Abou-Moustafa, Karim T <http://spectrum.library.concordia.ca/view/creators/Abou-Moustafa=3AKarim_T=3A=3A.html> (2003) A generative-discriminative framework for time-series data classification. Masters thesis, Concordia University. |