Parametric Statistical Modeling Algorithm: Difference between revisions
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*** [[Probabilistic Graphical Model]] [[Learning Algorithm]]. | *** [[Probabilistic Graphical Model]] [[Learning Algorithm]]. | ||
*** [[Hidden Markov Model]] [[Learning Algorithm]]. | *** [[Hidden Markov Model]] [[Learning Algorithm]]. | ||
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** a [[Nonparametric Statistical Modeling Algorithm]]. | ** a [[Nonparametric Statistical Modeling Algorithm]]. |
Revision as of 20:46, 22 February 2021
A Parametric Statistical Modeling Algorithm is a Learning Algorithm that assumes knowledge of the Dataset's underlying Distribution Function.
- AKA: Parametric Statistical Algorithm, Parametric Learning Algorithm.
- Context:
- It can be:
- Example(s):
- Counter-Example(s):
- See: Parametric.
References
2009
- (Lafferty & Wasserman, 2009) ⇒ John D. Lafferty, and Larry Wasserman. (2009). “Statistical Machine Learning - Course: 10-702." Spring 2009, Carnegie Mellon Institute.
- Parametric methods: Linear Regression, Model Selection, Generalized Linear Models, Mixture Models, Classification (linear, logistic, support vector machines), Graphical Models, Structured Prediction, Hidden Markov Models.