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    995 bytes (147 words) - 15:55, 27 January 2020
  • ...<math>S</math>. This sometimes occurs when the number of parameters of the learning algorithm is too large (but not necessarily!). == PAC-learning ==
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  • ...aset is compromised. Can we design algorithms that nevertheless succeed in learning adequately from such a partially compromised dataset? This question has arguably become crucial, as large-scale algorithms perform learning from users' data. Yet, clearly, if the algorithm is used by thousands, mill
    15 KB (2,387 words) - 09:00, 26 February 2020
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