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Titlebook: Logical Foundations for Cognitive Agents; Contributions in Hon Hector J. Levesque,Fiora Pirri Book 1999 Springer-Verlag Berlin Heidelberg 1

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樓主: broach
51#
發(fā)表于 2025-3-30 11:24:08 | 只看該作者
52#
發(fā)表于 2025-3-30 13:45:38 | 只看該作者
53#
發(fā)表于 2025-3-30 17:17:08 | 只看該作者
Leopoldo Bertossi,Javier Pinto,Ricardo Valdiviaoth network topology and attribute information, have been designed to detect the community partitions of networks. However, existing approaches cannot work effectively for networks whose community structure does not match well with the ground-truth, or networks whose topological information contains
54#
發(fā)表于 2025-3-30 21:42:10 | 只看該作者
55#
發(fā)表于 2025-3-31 04:00:20 | 只看該作者
John McCarthyn system, the available information is further enriched. In the case, user’s click or purchase behavior could be a visual representation of his or her interest. Due to the rapid update of products, users’ interests are not static, but change over time. In order to cope with the users’ interest chang
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發(fā)表于 2025-3-31 05:18:17 | 只看該作者
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發(fā)表于 2025-3-31 15:27:05 | 只看該作者
59#
發(fā)表于 2025-3-31 17:31:42 | 只看該作者
Marc Denecker,V. Wiktor Marek,Miros?aw Truszczyński conduct supervised training in some small labeled datasets, so directly deploying these trained models to the real-world large camera networks may lead to a poor performance due to underfitting. The significant difference between the source training dataset and the target testing dataset makes it c
60#
發(fā)表于 2025-3-31 22:18:24 | 只看該作者
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