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Titlebook: Intelligent Computer Mathematics; 16th International C Catherine Dubois,Manfred Kerber Conference proceedings 2023 The Editor(s) (if applic

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樓主: External-Otitis
31#
發(fā)表于 2025-3-27 00:15:57 | 只看該作者
CoProver: A Recommender System for?Proof Construction knowledge stored in the ITP concerning previous proofs. CoProver employs a neurally learnt sequence-based encoding of sequents, capturing long distance relationships between terms and hidden cues therein. We couple CoProver with the Prototype Verification System (PVS) and evaluate its performance o
32#
發(fā)表于 2025-3-27 04:15:05 | 只看該作者
33#
發(fā)表于 2025-3-27 09:05:15 | 只看該作者
Jonas Bayer,Alexey Gonus,Christoph Benzmüller,Dana S. Scott
34#
發(fā)表于 2025-3-27 11:44:24 | 只看該作者
Marc Berges,Jonas Betzendahl,Abhishek Chugh,Michael Kohlhase,Dominic Lohr,Dennis Müller
35#
發(fā)表于 2025-3-27 15:15:19 | 只看該作者
Aabid Seeyal Abdul Kharim,T. V. H. Prathamesh,Shweta Rajiv,Rishi Vyasund neolithische Ethnien. Der Widerspruch zwischen der heutigen Aridit?t und der Tatsache eines Grundwasserexports aus den gro?en Becken der Ostsahara an dienordafrikanische Küste wird vor dem Hintergrund der geologischen und pal?oklimatischen Entwicklung diskutiert..978-3-540-47625-2
36#
發(fā)表于 2025-3-27 19:23:21 | 只看該作者
37#
發(fā)表于 2025-3-27 23:25:24 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469416.jpg
38#
發(fā)表于 2025-3-28 02:39:13 | 只看該作者
https://doi.org/10.1007/978-3-031-42753-4computer mathematics; formalized mathematics; mathematical libraries; algorithmic mathematics; knowledge
39#
發(fā)表于 2025-3-28 07:29:42 | 只看該作者
Large-Scale Formal Proof for?the?Working Mathematician—Lessons Learnt from?the?ALEXANDRIA Projecteat strides in the formalisation of mathematics and also in some relevant technologies, above all machine learning. Six years of intensive formalisation activity seem to show that even the most advanced results, drawing on multiple fields of mathematics, can be formalised using the tools available today.
40#
發(fā)表于 2025-3-28 14:23:41 | 只看該作者
Learning Support Systems Based on?Mathematical Knowledge Managementing problems, this can only be achieved via adaptive, interactive learning support services. In this paper we show how these can be generated by modeling the domain, the learner competencies, and the rhetoric and didactic relations among learning objects, re-using existing technologies and systems of mathematical knowledge management.
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