理学 学习理论 释 PAC learning PAC学习 PAC (Probably Approximately Correct)学习，中文翻译为概率近似正确学习，是计算学习理论中最重要的研究内容之一，由图灵奖得主Valiant [1]于1984年首先提出的学习框架。PAC学习给出了一种数学形式化刻画机器学习的框架，基于此框架，很多学习问题得以从理论上进一步探讨，如什么样的学习任务是可以学习的。
人工智能 机器学习 释文 probably approximately correct learning 概率近似正确学习
- supercooled phenomenon
- super cooled state
- super-cooled state
- supercooled vapor
- supercooled water in the cloud
- supercooling
- supercooling phenomenon
- super-cooling point
- super cooling turbine blade
- supercorona
- Supercosmos
- super covalent bond
- supercrevice
- supercritical
- supercritical airfoil
- supercritical bifurcation
- supercritical branching process
- supercritical compressed air energy storage
- supercritical extractor
- supercritical fluid
- supercritical fluid chromatograph
- supercritical fluid chromatography
- supercritical fluid chromatography-mass spectrometry analysis for pharmaceuticals
- supercritical fluid chromatography (SFC)
- supercritical fluid chromatography (SFC) for pharmaceutical analysis