Package | Description |
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm |
The package provides all interfaces and classes for a hidden Markov model (HMM).
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models |
The package provides different implementations of hidden Markov models based on
AbstractHMM . |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions |
The package provides all interfaces and classes for transitions used in hidden Markov models.
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements |
Class and Description |
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TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
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Class and Description |
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TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
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Class and Description |
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TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
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Class and Description |
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BasicTransitionElement
This class implements the probability distribution for a given context, i.e.
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DistanceBasedScaledTransitionElement
Distance-based scaled transition element for an HMM with distance-scaled transition matrices (DSHMM).
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ReferenceBasedTransitionElement
This class implements transition elements that utilize a reference sequence to determine the transition probability.
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ScaledTransitionElement
Scaled transition element for an HMM with scaled transition matrices (SHMM).
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TransitionElement
This class implements an transition element implements method used
for training via sampling or gradient based optimization approach.
|