SW StudyWalks

Artificial Intelligence  /  AI 0569  ·  Atom · ~20 seconds

Every Learner Is a Bet

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With no assumptions, no learner beats any other averaged over all possible worlds — learning works only where a method's built-in bets fit the world it meets.

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Nearest neighbor bet on similarity; the tree on rectangles; the perceptron on one cut; convolution on nearby pixels; attention on computable relevance.

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The theorem stands behind every "what does it assume?" this course has asked.