Apr 22, 2011 · We say a PAC-learner is “smart” if, for a “vast majority” of domain distributions, does not require significantly more examples to reach the “learning goal”.
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples ...
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The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples ...
Abstract. The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number.
Dec 31, 2010 · In this paper, focusing on sample complexity and ignoring computational issues, we show that smart learners do exist.
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples ...
Jun 27, 2019 · Does anyone have any tips for faster packing in smartpac? I usually hit rate a few times a night, but can't seem to keep it as my final rate for the day.
Sep 27, 2024 · Get used to using both your hands while you are still learning! It's going to be awkward at first, but you will see a noticeable difference ...
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Feb 13, 2023 · We study a foundational variant of Valiant and Vapnik and Chervonenkis' Probably Approximately Correct (PAC)-Learning in which the adversary is restricted to a ...