陈腐的人
发表于 2025-3-27 00:13:08
Oliver Doleski computational linguistics were realized. Today, the challenges and opp- tunities of dealing with structured data and knowledge have been taken up by the arti?cial intelligence community at large and form the motivation for a lot of ongoing research. Indeed, graph, network and multi-relational data
propose
发表于 2025-3-27 02:36:50
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开花期女
发表于 2025-3-27 05:49:32
William Motsch,iLOGINany set-theoretic notion of membership. The formation of ordered pairs, and the two projection operations yielding their left and right coordinates, form a coeval family of logical notions. The challenge is to furnish them with introduction and elimination rules that capture their exact meanings, an
blight
发表于 2025-3-27 10:24:28
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acrophobia
发表于 2025-3-27 16:25:52
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Postulate
发表于 2025-3-27 17:59:12
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Misgiving
发表于 2025-3-27 22:43:24
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博识
发表于 2025-3-28 05:54:42
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forthy
发表于 2025-3-28 09:47:58
Christian Aicheleive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all have contributed techniques for learning from data in re- tional form. Even though some early contributions to logical and relation
表被动
发表于 2025-3-28 12:34:11
Christian Aicheleallearning torefertothesub?eldofarti?cial intelligence,machinelearninganddataminingthatisconcernedwithlearning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all have contr