learning bias 学习效应
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。
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