r/MachineLearning 子版块的一名用户正在寻求有关向 Nature Machine Intelligence 投稿流程的建议。这将是他们首次向如此高水平的期刊投稿，并希望获得有经验人士的见解。该用户的论文侧重于在特定工程子领域中使用机器学习进行信号处理，但他们指出其具有跨学科应用的潜力。 AI
排序理由 用户查询寻求关于学术出版的建议，而非研究发现或发布。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
机器学习研究员寻求关于 Nature Machine Intelligence 投稿的建议
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 用户查询寻求关于学术出版的建议，而非研究发现或发布。
- 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
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- 100 days old
- Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
完整方法见我们的编辑标准。
报道来源 [1]
-
有人在投稿Nature Machine Intelligence方面有经验吗？[R]
<!-- SC_OFF --><div class="md"><p>I'm planning to submit a paper to either NMI, but this will be my first paper to a nature-like venue. Would love a quick chat with anyone that has experience.</p> <p>My paper's specifically more geared towards signal processing with ML for a spec…