Latent Variable Model Training Algorithm

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):
  • E-M Algorithm.
  • Latent Semantic Indexing Algorithm.
• See: Latent Variable.

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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.

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