ConceptPrior / 先验
prior knowledge
In machine learning, assumptions or constraints injected into a model in advance beyond observed data, providing the model with a reasonable starting point so that it can still make reasonable inferences when data is insufficient or noisy.
Timeline (last 90 days)
Oct 19
In machine learning, prior knowledge (Prior) refers to assumptions or constraints injected into a model in advance, outside the observed data, helping the model make reasonable inferences when data is insufficient or noisy.
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