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Learning Paradigms

4 Concepts

High-level training frameworks such as contrastive or self-supervised learning.

Showing 4 of 4

Concept	Origin	Kind / Branch	Identifier	Evidence / Status
Boosting Ensemble learning that sequentially adds learners to improve an existing predictor.	Curated	Learning Paradigms	`AIMech:Boosting`	1 claim 1 source
Competitive learning An unsupervised learning paradigm in which units or modules compete to represent presented input patterns and adapt their representations ac…	Curated	Learning Paradigms	`AIMech:CompetitiveLearning`	5 claims 2 sources
Stochastic learning automata A family of adaptive stochastic decision procedures that selects an action from a maintained finite action-probability vector, receives eval…	Curated	Learning Paradigms	`AIMech:StochasticLearningAutomata`	6 claims 1 source
Temporal-difference learning aka TD learning A family of prediction-learning methods that assign temporal credit using discrepancies between successive, recursively related predictions…	Curated	Learning Paradigms	`AIMech:TemporalDifferenceLearning`	2 claims 2 sources