This means that any learning algorithm requires some kind of "bias" to distinguish between these plausible outcomes.
这就意味着，任何学习算法都需要一些“倾向性”，用来区分可能的结果。
The findings were: 1 There was implicit science learning in bias in nature cognition.
发现：1。自然事物的认知偏好中存在内隐学习现象。
Learning to learn - Learns its own inductive bias based on previous experience.
学习地学习-通过先前的经验学习自身归纳性偏向。
Any writing and judgment of history has its own limitation and bias, which, however, will provide an Angle of view for learning about the history and reality.
任何历史的书写与判断有其局限与偏见，但是每种书写与判断都为人们提供一种认识历史与现实的视角。
To accelerate the learning speed, bias information is incorporated to boost learning process with priori knowledge.
传统的强化学习存在收敛速度慢等问题，结合先验知识预置某些偏向可以加快学习速度。
To accelerate the learning speed, bias information is incorporated to boost learning process with priori knowledge.
传统的强化学习存在收敛速度慢等问题，结合先验知识预置某些偏向可以加快学习速度。
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