English(EN) Do Machine Learning Models Predict?

哲学家质疑机器学习模型是真正预测还是仅仅适应

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 12:51

一项哲学探讨，在机器学习模型的背景下，探索了适应与预测之间的区别。分析表明，虽然机器学习模型常被描述为具有预测性，但它们的输出往往倾向于适应，这意味着它们成功处理的证据是其训练数据的一部分。由于训练过程中输入模式与模型选择过程之间的复杂关系，这种区别变得模糊。该论文深入探讨了这一观点对确认、新颖性和科学实在论等概念的影响。 AI

影响挑战了机器学习模型纯粹预测的普遍看法，暗示适应在其输出中起着更重要的作用。

排序理由该条目是一篇讨论机器学习概念的哲学论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 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: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目是一篇讨论机器学习概念的哲学论文。[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, opinion; 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: 1 days old; Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

Hugging Face Daily Papers TIER_1 English(EN) · 2026-11-09 12:51

机器学习模型会预测吗？

Machine learning (ML) models are said to predict. Philosophers draw a line between accommodation and prediction, depending on whether or not the evidence a theory succeeds on was used in constructing it. Does this distinction survive when a theory is replaced by an ML model? We a…

本文如何被排名

报道来源 [1]

机器学习模型会预测吗？

相关实体

相关话题