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Search for: [Abstract = "These, however, have demonstrated only modest improvements and brought no paradigm shift in technology. The goal of this paper is to examine why HMM performs so well in spite of its incorrect bias due to the naive Bayes assumption. To do this we create an algorithmic framework that allows us to experiment with alternative combination schemes and helps us understand the factors that influence recognition performance."]

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AMCS, Volume 15 (2005)

Tóth, László Kocsor, András Csirik, János Korbicz, Józef - red. Uciński, Dariusz - red.

2005
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