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Software / Report
Hidden Markov models, Baum-Welch Algorithm (GPL Licence)
Realized for a maths'project, for the Polytech'Tours first year.

Presentation
Hidden Markov models with Baum-Welch algorithm,
Hidden Markov models (HMM) is basically a Markov chain whose internal state cannot be observed directly but only through some probabilistic function. That is, the internal state of the model only determines the probability distribution lambda of the observed variable. The Baum-Welch algorithm is a method of adjusting the lambda parameters to maximize the like- lihood of the training set. That's effcient, but not optimum without some improvements such as the rescaling method, which provides a larger accuracy.

Realized with the FOX-Toolkit library.

Screenshot

Authors
Florian Agen
Julien Michot
Under the direction of :
Mohamed Slimane [Polytech'Tours - LI ]
Size
250 Ko - 35 Ko - 300 Ko
Date of creation
2005
Downloads
Executables [Windows] - Executables [Linux] - Source - Report (pdf)    - Report HTML     515 - 394 - 516
       

FracTal Compressions RapportBD rapport-cdrom rapport-codages Contours actifs rapport de stagerapport-images Rapport_MMC_BaumWelch Contours actifs rapport de stage L-systèmes modélisation arbre 3D et plante
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