AI-woordenlijst
Het complete woordenboek van kunstmatige intelligentie
162
categorieën
2.032
subcategorieën
23.060
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Context Model
The mathematical representation of contextual information used by a contextual bandit algorithm to predict the rewards of different actions.
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Posterior Sampling
An algorithmic approach where a sample is drawn from the posterior distribution of the model to guide the next decision, used in contextual bandits and Bayesian optimization.
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Bayesian Optimization for Contextual Bandits (BOCB)
The direct application of Bayesian optimization principles to solve the contextual bandit problem, by modeling the reward function based on context and action.
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