chastise
发表于 2025-3-23 13:08:41
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辫子带来帮助
发表于 2025-3-23 15:18:52
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finite
发表于 2025-3-23 20:49:43
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Commonwealth
发表于 2025-3-23 23:32:56
Second-Order-Faktorenanalyse (SFA)nits, it is NP-hard to find such a network that makes mistakes on a proportion smaller than .. of the examples, for some constant .. We prove a similar result for the problem of approximately minimizing the quadratic loss of a two-layer network with a sigmoid output unit.
极微小
发表于 2025-3-24 04:53:19
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包庇
发表于 2025-3-24 08:10:59
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同步左右
发表于 2025-3-24 11:28:11
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军火
发表于 2025-3-24 16:49:53
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Anticoagulants
发表于 2025-3-24 19:05:26
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创作
发表于 2025-3-25 00:51:14
Regularized Principal Manifoldsapproach. 2) We derive uniform convergence bounds and hence bounds on the learning rates of the algorithm. In particular, we give good bounds on the covering numbers which allows us to obtain a nearly optimal learning rate of order . for certain types of regularization operators, where . is the sample size and α an arbitrary positive constant.