Iterative Learning Algorithm: Difference between revisions
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Revision as of 22:31, 1 March 2021
An Iterative Learning Algorithm is a learning algorithm that is an iterative algorithm and can be implemented into an iterative learning system (to solve an iterative learning task).
- Context:
- It can range from being an Iterative Classification Algorithm to being an Iterative Ranking Algorithm to being an Iterative Estimation Algorithm.
- It can range from being an Iterative Supervised Algorithm to being an Iterative Unsupervised Learning Algorithm (such as an Iterative Clustering Algorithm).
- Example(s):
- an AdaBoost Algorithm.
- …
- Counter-Example(s):
- See: Online Learning Algorithm, Evolutionary Learning Algorithm, Iterative Supervised Classification Algorithm.