Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
gptkb:expectation–maximization_algorithm |
| gptkbp:alsoKnownAs |
forward-backward algorithm
|
| gptkbp:appliesTo |
gptkb:continuous_HMM
gptkb:discrete_HMM |
| gptkbp:category |
unsupervised learning
|
| gptkbp:convergesTo |
local maximum of likelihood function
|
| gptkbp:field |
gptkb:machine_learning
gptkb:signal_processing statistics |
| https://www.w3.org/2000/01/rdf-schema#label |
Baum–Welch algorithm
|
| gptkbp:input |
observed sequence
|
| gptkbp:namedAfter |
gptkb:Lloyd_R._Welch
gptkb:Leonard_E._Baum |
| gptkbp:output |
maximum likelihood estimate of HMM parameters
|
| gptkbp:publishedIn |
1967
|
| gptkbp:relatedTo |
gptkb:expectation–maximization
Markov chain |
| gptkbp:step |
expectation step
maximization step |
| gptkbp:usedFor |
training hidden Markov models
|
| gptkbp:bfsParent |
gptkb:Leonard_E._Baum
gptkb:Hidden_Markov_model gptkb:Viterbi_algorithm |
| gptkbp:bfsLayer |
6
|