English(EN) On the Complexity of the Compatibility Problem for Succinctly Encoded Conditional Distributions

新研究探讨简洁条件分布兼容性问题的复杂度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

本文探讨了当条件概率分布以简洁形式（例如通过算术电路）表示时，确定其兼容性问题的复杂度。研究表明，对于这些简洁表示，兼容性问题变得难以处理。具体来说，当所有概率均非零时，该问题是co-NP完全的；当概率可以为零时，该问题的几个版本是PSPACE完全的。研究结果还表明，可能存在兼容的简洁条件，但它们的联合分布无法简洁地表示，这对高维概率建模和机器学习产生了影响。 AI

影响这项研究可能会影响高维概率模型（包括神经网络）的设计和兼容性分析方式。

排序理由该条目是一篇提交到arXiv cs.LG的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 19 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目是一篇提交到arXiv cs.LG的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Guy Emerson · 2026-09-01 04:00

关于简洁编码条件分布兼容性问题的复杂性

arXiv:2608.31120v1 Announce Type: new Abstract: The motivation for this paper is the investigation of the trade-offs implicit in probabilistic models used in machine learning. Models are often used to make predictions in the form of conditional probabilities. However, a pair of c…

本文如何被排名

报道来源 [1]

关于简洁编码条件分布兼容性问题的复杂性

相关实体

相关话题