自动化学报2017，Vol.43Issue(1)：1-8,8.DOI:10.16383/j.aas.2017.y000001
平行学习-机器学习的一个新型理论框架
Parallel Learning - A New Framework for Machine Learning
摘要
Abstract
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 Merton0s law to prescriptive learning.关键词
机器学习/人工智能/平行学习/平行智能/平行系统及理论Key words
Machine learning/artificial intelligence/parallel learning/parallel intelligence/parallel system and theory引用本文复制引用
李力,林懿伦,曹东璞,郑南宁,王飞跃..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):1-8,8.基金项目
国家自然科学基金(91520301)资助Supported by National Natural Science Foundation of China (91520301) （91520301）
