Package org.ptolemy.machineLearning.hsmm

The org.ptolemy.machineLearning.hsmm package.

Since:

Ptolemy II 10.1

Class Summary

Class	Description
HSMMGaussianEstimator	This actor implements a parameter estimator for a Hidden Semi-Markov Model with Gaussian Emissions.
HSMMGenerator	An abstract class that implements a Bayesian network used to simulate an Explicit-Duration Hidden Markov Model.
HSMMGeneratorGaussianEmissions	This actor implements the Expectation-Maximization(EM) algorithm for parameter estimation in a family of graphical stochastic models, known as the Hidden Semi-Markov Model family.
HSMMGeneratorMultinomialEmissions	This actor generates observation traces from an Explicit-Duration Hidden-Markov Model (EDHMM) with multinomial emissions and multinomial duration distributions.
HSMMMultinomialEstimator	A hidden semi-markov model estimator, configured as an Explicit-Duration Hidden Markov Model (EDHMM) with multinomial emissions.
HSMMParameterEstimator	This actor implements the Expectation-Maximization(EM) algorithm for parameter estimation in a family of graphical stochastic models, known as the Hidden Semi-Markov Model family.
HSMMTimeAwareGenerator	This actor implements an Explicit-Duration Hidden-Markov Model (EDHMM) and executes this model to generates traces.
HSMMTimeAwareMultinomialEstimator	A parameter estimator for a Hidden Semi-Markov Model with Multinomial Emissions.
HSMMTimeAwareMultinomialEstimatorWithCodegen	A parameter estimator for a Hidden Semi-Markov Model with Multinomial Emissions and code generation.