Flustered
发表于 2025-3-23 11:49:59
http://reply.papertrans.cn/17/1663/166265/166265_11.png
改正
发表于 2025-3-23 17:23:29
SCL Clause Learning from Simple Models,cedures differ in their respective model representation formalisms. We introduce a new decision procedure SCL deciding the BS fragment. SCL stands for clause learning from simple models. Simple models are solely built on ground literals. Nevertheless, we show that SCL can learn exactly the clauses o
向外
发表于 2025-3-23 19:09:18
http://reply.papertrans.cn/17/1663/166265/166265_13.png
PAGAN
发表于 2025-3-23 23:45:14
http://reply.papertrans.cn/17/1663/166265/166265_14.png
截断
发表于 2025-3-24 05:37:34
http://reply.papertrans.cn/17/1663/166265/166265_15.png
Crumple
发表于 2025-3-24 08:07:39
http://reply.papertrans.cn/17/1663/166265/166265_16.png
Crayon
发表于 2025-3-24 12:20:22
http://reply.papertrans.cn/17/1663/166265/166265_17.png
Defense
发表于 2025-3-24 15:01:08
http://reply.papertrans.cn/17/1663/166265/166265_18.png
capsaicin
发表于 2025-3-24 19:15:31
Klimakterium nach gynäkologischem Eingriff?re polymorphism. Further, we describe its implementation in the Vampire theorem prover, including a novel use of a substitution tree as a filtering index for higher-order unification. Finally, we analyse the performance of the algorithm on two benchmark sets and show that it is competitive.
Mindfulness
发表于 2025-3-25 02:37:10
,Werkstoffe und Werkzeuge für den Modellbau,dataset of theorem proving problems and compared with the previous approaches. The resulting methods improve on the manually designed clause guidance, providing the first practically convincing application of gradient-boosted and neural clause guidance in saturation-style automated theorem provers.