计算机科学
机器学习
人工智能
算法
在线机器学习
基于实例的学习
加权多数算法
计算学习理论
主动学习(机器学习)
唤醒睡眠算法
理论(学习稳定性)
泛化误差
出处
期刊:Lecture notes on data engineering and communications technologies
日期:2022-01-01
卷期号:: 417-422
标识
DOI:10.1007/978-981-16-8403-6_38
摘要
Machine learning (ML) is to make logical patterns out of various types of input data including images, texts, numbers and any other types of data. Data derived from research will be processes through machine learning algorithms and leads to a prediction that is mainly considered as the output of the machine learning algorithm. In this paper, the most popular learning algorithms have been reviewed and their specific features are discussed to help select the most appropriate algorithm through comparison in different research projects. However, there is not just one efficient method to apply to all data sets, and the appropriate algorithm may differ based on factors in a study.
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