腼腆 发表于 2025-3-25 05:45:24

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overwrought 发表于 2025-3-25 07:54:50

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难听的声音 发表于 2025-3-25 13:58:17

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FRAUD 发表于 2025-3-25 17:09:04

Simone Schalzent reduction can be too strong and can remove metarules necessary to make a hypothesis more specific. We describe a new reduction technique based on derivations. Specifically, we introduce the . problem, the problem of finding a finite subset of a Horn theory from which the whole theory can be deri

Aboveboard 发表于 2025-3-25 22:17:19

Rotraut Waldenprove the performance of a state-of-the-art MLN system, Tuffy, with minimal changes. Indeed, comparing the performance of our GPU-based system, TuGPU, to that of the Alchemy, Tuffy and RockIt systems on three widely used applications shows that TuGPU is up to 15x times faster than the other systems.

悬挂 发表于 2025-3-26 03:56:34

Henry Sanoffprove the performance of a state-of-the-art MLN system, Tuffy, with minimal changes. Indeed, comparing the performance of our GPU-based system, TuGPU, to that of the Alchemy, Tuffy and RockIt systems on three widely used applications shows that TuGPU is up to 15x times faster than the other systems.

轻率的你 发表于 2025-3-26 07:26:53

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Asperity 发表于 2025-3-26 09:34:44

Jeffery A. Lackneyons within a sequence (relations). The input to our explanation generation approach is the output of an interpretable rule-based classifier for pain and disgust. We utilize two different similarity metrics to determine near misses and far misses as contrasting instances. Our results show that near m

DALLY 发表于 2025-3-26 15:58:12

Rotraut Waldenory consumption and performs many unnecessary tests in most cases. In this work, we overcome this problem by transforming the .-subsumption problem in a Constraint Satisfaction Problem, then we use an exhaustive search algorithm in order to find a minimal solution. The experiments with artificial an

institute 发表于 2025-3-26 17:07:28

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查看完整版本: Titlebook: Schools for the Future; Design Proposals fro Rotraut Walden Book 2015 Springer Fachmedien Wiesbaden 2015 Design language for schools.Design