Statements (30)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
Probabilistic model |
| gptkbp:advantage |
gptkb:Hidden_Markov_model
Can model variable state durations |
| gptkbp:application |
gptkb:Computational_biology
Natural language processing Machine learning |
| gptkbp:characterizedBy |
Explicit state duration modeling
|
| gptkbp:distinctFrom |
gptkb:Hidden_Markov_model
|
| gptkbp:hasComponent |
Observations
States Transition probabilities Emission probabilities State duration distribution |
| https://www.w3.org/2000/01/rdf-schema#label |
Hidden semi-Markov model
|
| gptkbp:limitation |
Increased computational complexity
|
| gptkbp:mathematicalFoundation |
Markov chain
Semi-Markov process |
| gptkbp:proposedBy |
gptkb:Lawrence_R._Rabiner
1989 |
| gptkbp:relatedTo |
gptkb:Markov_model
gptkb:Hidden_Markov_model Semi-Markov process |
| gptkbp:subclassOf |
gptkb:Hidden_Markov_model
|
| gptkbp:usedIn |
gptkb:Bioinformatics
Time series analysis Speech recognition Pattern recognition |
| gptkbp:bfsParent |
gptkb:Hidden_Markov_Model
|
| gptkbp:bfsLayer |
7
|