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
- pharmaceutical wastewater
- pharmaceutical water content test
- pharmacodynamic
- Pharmacodynamics
- pharmacodynamics
- pharmacoeconomic evaluation
- pharmacoeconomics
- pharmacoepigenomics
- pharmacogenetics
- Pharmacogenomics
- pharmacogenomics
- pharmacokinetic analysis
- pharmacokinetic data analysis model
- pharmacokinetic model
- pharmacokinetic parameters
- pharmacokinetic-pharmacodynamic model
- pharmacokinetics
- pharmacokinetics analysis in healthy volunteers
- pharmacokinetics analysis in human
- pharmacokinetics analysis in patients
- pharmacokinetics analysis in specific population
- pharmacokinetics/pharmacodynamics，PK/PD
- pharmacologic principles of cancer treatment
- pharmacology
- Pharmacology and Clinics of Chinese Materia Medica