Latent Variable Model Training Algorithm
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A Latent Variable Model Training Algorithm is a model training algorithm that can be applied by a latent variable model training system (to solve a latent variable model training task.
- Context:
- It can range from being a Parametric Latent Variable Modeling Algorithm to being a Non-Parametric Latent Variable Modeling Algorithm.
- It can range from being a Latent Semantic Modeling Algorithm to being a Latent Syntactic Modeling Algorithm.
- Example(s):
- See: Latent Variable.
References
2013
- (Wikipedia, 2013) ⇒ http://en.wikipedia.org/wiki/Expectation-maximization_algorithm
- … an iterative method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables.