Entropy-Minimization Algorithm: Difference between revisions
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An [[Entropy-Minimization Algorithm]] is an [[optimization algorithm]] that minimizes an [[entropy function]]. | An [[Entropy-Minimization Algorithm]] is an [[optimization algorithm]] that minimizes an [[entropy function]]. | ||
* <B>Context:</B> | |||
** It can be applied by an [[Entropy-Minimization System]] (that solves an [[entropy-minimization task]]). | |||
* <B>See:</B> [[EM Algorithm]]. | * <B>See:</B> [[EM Algorithm]]. | ||
---- | ---- |
Revision as of 17:09, 7 November 2015
An Entropy-Minimization Algorithm is an optimization algorithm that minimizes an entropy function.
- Context:
- It can be applied by an Entropy-Minimization System (that solves an entropy-minimization task).
- See: EM Algorithm.
References
2005
- (Grandvalet & Bengio, 2004) ⇒ Yves Grandvalet, and Yoshua Bengio. (2004). "Semi-supervised Learning by Entropy Minimization." In: Advances in neural information processing systems, pp. 529-536.
2002
- (Erdogmus & Principe, 2002) ⇒ Deniz Erdogmus, and Jose C. Principe. (2002). "An Error-entropy Minimization Algorithm for Supervised Training of Nonlinear Adaptive Systems." Signal Processing, IEEE Transactions on 50, no. 7