Learning classifier system: Difference between revisions

Revision as of 04:15, 31 May 2020

Revision as of 05:40, 2 June 2020

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* Adaptive: They can acclimate to a changing environment in the case of online learning.

* Model free: They make limited assumptions about the environment, or the patterns of association within the data.

** TheThey can model complex, epistatic, heterogeneous, or distributed underlying patterns without relying on prior knowledge.

** They make no assumptions about the number of predictive vs. non-predictive features in the data.

* Ensemble Learner: No single model is applied to a given instance that universally provides a prediction. Instead a relevant and often conflicting set of rules contribute a 'vote' which can be interpreted as a fuzzy prediction.