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approximation error

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8月26日
10:17
10:17官方账号arXiv cs.LG@Malte Luttermann, Jan Speller, Tanya Braun, Marcel Gehrke, Ralf Möller
This paper introduces ε-commutativity, a relaxation of commutativity for lifted model construction, and demonstrates its effectiveness in probabilistic inference with lower runtime. It proves strict bounds on the approximation error, ensuring practical applicability while maintaining high query accuracy.
论文ε-commutativitylifted model constructionprobabilistic inference
推荐理由：This paper presents a novel approach to lifted model construction that addresses the challenge of approximate commutativity, offering a practical solution with improved query accuracy and lower runtime compared to existing methods.
原文