IHybridMarkovModelDecode Method

Calculates the most likely sequence of hidden states that produced the given observation sequence.

Namespace: Accord.Statistics.Models.Markov.Hybrid
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

Copy

int[] Decode(
	double[][] observations,
	out double logLikelihood
)

Function Decode ( 
	observations As Double()(),
	<OutAttribute> ByRef logLikelihood As Double
) As Integer()

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Parameters

observations: Type: SystemDouble
A sequence of observations.
logLikelihood: Type: SystemDouble
The state optimized probability.

Return Value

Type: Int32
The sequence of states that most likely produced the sequence.

Remarks

Decoding problem. Given the HMM M = (A, B, pi) and the observation sequence O = {o1,o2, ..., oK}, calculate the most likely sequence of hidden states Si that produced this observation sequence O. This can be computed efficiently using the Viterbi algorithm.

Reference

IHybridMarkovModel Interface

Accord.Statistics.Models.Markov.Hybrid Namespace

IHybridMarkovModelAddLanguageSpecificTextSet("LST74D5761F_0?cpp=::|nu=.");Decode Method

Parameters

Return Value

Reference

IHybridMarkovModelDecode Method