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Accord.Statistics.Models.Markov Namespace

Contains classes related to Hidden Markov Models and their learning algorithms. Offers support for both discrete and continuous-density models, as well as Markov classifiers and threshold models for sequence rejection.
Classes
  ClassDescription
Public classBaseHiddenMarkovClassifierTModel
Base class for (HMM) Sequence Classifiers. This class cannot be instantiated.
Public classBaseHiddenMarkovClassifierTModel, TDistribution, TObservation
Base class for (HMM) Sequence Classifiers. This class cannot be instantiated.
Public classBaseHiddenMarkovModel
Base class for Hidden Markov Models. This class cannot be instantiated.
Public classForwardBackwardAlgorithm
Forward-Backward algorithms for Hidden Markov Models.
Public classCode exampleHiddenMarkovClassifier
Discrete-density Hidden Markov Model Set for Sequence Classification.
Public classHiddenMarkovClassifierTDistribution Obsolete.
Public classCode exampleHiddenMarkovClassifierTDistribution, TObservation
Arbitrary-density Hidden Markov Model Set for Sequence Classification.
Public classCode exampleHiddenMarkovModel
Discrete-density Hidden Markov Model.
Public classHiddenMarkovModelTDistribution Obsolete.
Public classCode exampleHiddenMarkovModelTDistribution, TObservation
Hidden Markov Model for any kind of observations (not only discrete).
Interfaces
  InterfaceDescription
Public interfaceIHiddenMarkovClassifier Obsolete.
Common interface for sequence classifiers using hidden Markov models.
Public interfaceIHiddenMarkovModel
Common interface for Hidden Markov Models.
Enumerations
  EnumerationDescription
Public enumerationHiddenMarkovModelAlgorithm
Algorithms for solving HiddenMarkovModel-related problems, such as sequence decoding and likelihood evaluation.