计算机科学
机器学习
人工智能
判别式
基于实例的学习
多任务学习
任务(项目管理)
在线机器学习
主动学习(机器学习)
钥匙(锁)
半监督学习
算法学习理论
启发式
工程类
计算机安全
系统工程
出处
期刊:Studies in big data
日期:2017-11-05
卷期号:: 11-22
被引量:1
标识
DOI:10.1007/978-3-319-70058-8_2
摘要
In this chapter, we describe the concepts of traditional machine learning. In particular, we introduce the key features of supervised learning, heuristic learning, discriminative learning, single-task learning and random data partitioning. We also identify general issues of traditional machine learning, and discuss how traditional learning approaches can be impacted due to the presence of big data.
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