Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions

Hidden Markov models have been found very useful for a wide range of applications in artificial intelligence.The wavelet transform arises as a new tool for signal and image analysis, with a special emphasis on nonlinearitiesand nonstationarities. However, learning models for wavelet coefficients hav...

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Publicat a:Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial
Autors principals: Leandro E. Di Persia, Diego H. Milone
Format: Artigo
Idioma:Inglês
Publicat: Asociación Española para la Inteligencia Artificial 2008
Matèries:
Ingeniería
Wavelets
EM Algorithm
Sequence Learning
Speech Recognition
Hidden Markov Trees
Accés en línia:https://www.redalyc.org/articulo.oa?id=92503702
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