BIAS
发表于 2025-3-28 14:45:01
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考博
发表于 2025-3-28 20:39:00
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constitutional
发表于 2025-3-29 01:09:05
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高尔夫
发表于 2025-3-29 06:26:02
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不幸的人
发表于 2025-3-29 08:41:18
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ascend
发表于 2025-3-29 14:40:38
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半导体
发表于 2025-3-29 18:29:49
https://doi.org/10.1007/978-3-642-66276-8exploiting binary supervision. The model guarantees to compute a non negative and symmetric measure, and shows good generalization capabilities even if a small set of supervised examples is used for training. The approximation capabilities of the proposed model are also investigated. Moreover, the e
中和
发表于 2025-3-29 22:54:57
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文字
发表于 2025-3-30 03:56:31
Fennoscandian Tundra Ecosystemsexperts in professional games. The ability to predict experts’ moves is useful, because it can, in principle, be used to narrow the search done by a computer Go player. We applied an ensemble of convolutional neural networks to this problem. Our main result is that the ensemble learns to predict 36.
vasospasm
发表于 2025-3-30 04:09:28
https://doi.org/10.1007/978-3-642-80937-8eral associative models have been proposed by different authors. However, they have several constraints which limit their applicability in complex pattern recognition problems. In this paper we gather different results provided by a dynamic associative model and present new results in order to descr