平行学习—机器学习的一个新型理论框架
李力; 林懿伦; 曹东璞; 郑南宁; 王飞跃
Source Publication自动化学报
2017
Volume43Issue:1Pages:1-8
Other Abstract本文提出了一种新的机器学习理论框架.该框架结合了现有多种机器学习理论框架的优点,并针对如何使用软件定义的人工系统从大数据提取有效数据,如何结合预测学习和集成学习,以及如何利用默顿定律进行指示学习等目前机器学习领域面临的重要问题进行了特别设计.; In this paper, we propose a new framework of machine learning theory, parallel learning,which incorporates and inherits many elements from various existing machine learning theories. Special designs are also presented to deal with some important problems in the machine learning research field, e.g., useful data retrieval from big data using software defined artificial systems, combination of predictive learning and ensemble learning, application of Merton's law to prescriptive learning.
Keyword机器学习 人工智能 平行学习 平行智能 平行系统及理论
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20159
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Recommended Citation
GB/T 7714
李力,林懿伦,曹东璞,等. 平行学习—机器学习的一个新型理论框架[J]. 自动化学报,2017,43(1):1-8.
APA 李力,林懿伦,曹东璞,郑南宁,&王飞跃.(2017).平行学习—机器学习的一个新型理论框架.自动化学报,43(1),1-8.
MLA 李力,et al."平行学习—机器学习的一个新型理论框架".自动化学报 43.1(2017):1-8.
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