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| Packages that use de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models | |
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| de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models | The package provides different implementations of hidden Markov models based on AbstractHMM |
| Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models | |
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| DifferentiableHigherOrderHMM
This class combines an HigherOrderHMM and a DifferentiableStatisticalModel by implementing some of the declared methods. |
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| HigherOrderHMM
This class implements a higher order hidden Markov model. |
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| HigherOrderHMM.Type
This enum defined different types of computations that will be done using the backward algorithm. |
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| SamplingHigherOrderHMM
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| SamplingHigherOrderHMM.ViterbiComputation
Emumeration of all possible Viterbi-Path methods |
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