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Packages that use be.ac.ulg.montefiore.run.jahmm | |
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be.ac.ulg.montefiore.run.jahmm | This package is an Hidden Markov Model implementation. |
be.ac.ulg.montefiore.run.jahmm.io | This package holds classes that read and write Hidden Markov Model-related objects. |
be.ac.ulg.montefiore.run.jahmm.learn | This package holds Hidden Markov Model-related learning algorithms. |
be.ac.ulg.montefiore.run.jahmm.toolbox | This package holds Hidden Markov Model-related tool algorithms. |
Classes in be.ac.ulg.montefiore.run.jahmm used by be.ac.ulg.montefiore.run.jahmm | |
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Centroid
The centroid (basically, the mean) of a cluster. |
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CentroidFactory
Creates a centroid for type |
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ForwardBackwardCalculator
This class can be used to compute the probability of a given observations sequence for a given HMM. |
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ForwardBackwardCalculator.Computation
Flags used to explain how the observation sequence probability should be computed (either forward, using the alpha array, or backward, using the beta array). |
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Hmm
Main Hmm class; it implements an Hidden Markov Model. |
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Observation
Observations generated by a Markovian process. |
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ObservationDiscrete
This class implements observations whose values are taken out of a finite set implemented as an enumeration. |
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ObservationInteger
This class holds an integer observation. |
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ObservationReal
This class implements observations made of a real value. |
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ObservationVector
This class holds an Observation described by a vector of reals. |
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Opdf
Objects implementing this interface represent an observation probability (distribution) function. |
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OpdfDiscrete
This class implements a distribution over a finite set of elements. |
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OpdfFactory
Classes implementing this interface are able to generate observation probability distribution functions. |
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OpdfGaussian
This class represents a (monovariate) gaussian distribution function. |
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OpdfGaussianMixture
This class implements a mixture of monovariate gaussian distributions. |
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OpdfInteger
This class represents a distribution of a finite number of positive integer observations. |
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OpdfMultiGaussian
This class represents a multivariate gaussian distribution function. |
Classes in be.ac.ulg.montefiore.run.jahmm used by be.ac.ulg.montefiore.run.jahmm.io | |
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Hmm
Main Hmm class; it implements an Hidden Markov Model. |
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Observation
Observations generated by a Markovian process. |
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ObservationInteger
This class holds an integer observation. |
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ObservationReal
This class implements observations made of a real value. |
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ObservationVector
This class holds an Observation described by a vector of reals. |
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Opdf
Objects implementing this interface represent an observation probability (distribution) function. |
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OpdfGaussian
This class represents a (monovariate) gaussian distribution function. |
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OpdfGaussianMixture
This class implements a mixture of monovariate gaussian distributions. |
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OpdfInteger
This class represents a distribution of a finite number of positive integer observations. |
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OpdfMultiGaussian
This class represents a multivariate gaussian distribution function. |
Classes in be.ac.ulg.montefiore.run.jahmm used by be.ac.ulg.montefiore.run.jahmm.learn | |
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CentroidFactory
Creates a centroid for type |
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ForwardBackwardCalculator
This class can be used to compute the probability of a given observations sequence for a given HMM. |
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Hmm
Main Hmm class; it implements an Hidden Markov Model. |
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Observation
Observations generated by a Markovian process. |
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Opdf
Objects implementing this interface represent an observation probability (distribution) function. |
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OpdfFactory
Classes implementing this interface are able to generate observation probability distribution functions. |
Classes in be.ac.ulg.montefiore.run.jahmm used by be.ac.ulg.montefiore.run.jahmm.toolbox | |
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Hmm
Main Hmm class; it implements an Hidden Markov Model. |
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Observation
Observations generated by a Markovian process. |
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