Function Approximation Algorithm: Difference between revisions
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** It can range from being a [[Linear Function Approximation Algorithm]] to being a [[Non-Linear Function Approximation Algorithm]]. | ** It can range from being a [[Linear Function Approximation Algorithm]] to being a [[Non-Linear Function Approximation Algorithm]]. | ||
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* <B>Example(s):</B> | * <B>Example(s):</B> | ||
** [[Linear Regression Algorithm]]. | ** [[Linear Regression Algorithm]]. | ||
** [[Logistic Regression Algorithm]]. | ** [[Logistic Regression Algorithm]]. | ||
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* <B>Counter-Example(s):</B> | * <B>Counter-Example(s):</B> | ||
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Latest revision as of 22:10, 1 March 2021
A Function Approximation Algorithm is an approximation algorithm that can be implemented by a function approximation system (to solve a function approximation task).
- Context:
- It can range from being a Linear Function Approximation Algorithm to being a Non-Linear Function Approximation Algorithm.
- …
- Example(s):
- Counter-Example(s):
- …
- See: Parametric Regression Algorithm, Learning Algorithm.