人工智能
机器学习
计算机科学
感应转移
基于实例的学习
算法学习理论
计算学习理论
主动学习(机器学习)
超启发式
多样性(控制论)
多任务学习
机器人学习
人工神经网络
学习分类器系统
类比
死记硬背
无监督学习
在线机器学习
合作学习
工程类
法学
系统工程
任务(项目管理)
机器人
哲学
教学方法
语言学
移动机器人
政治学
作者
Hua Wang,Cuiqin Ma,Lijuan Zhou
出处
期刊:International Conference on Information Engineering and Computer Science
日期:2009-12-01
卷期号:: 1-4
被引量:142
标识
DOI:10.1109/iciecs.2009.5362936
摘要
With the popularization of information and the establishment of the databases in great number, and how to extract data from the useful information is the urgent problem to be solved. Machine learning is the core issue of artificial intelligence research, this paper introduces the definition of machine learning and its basic structure, and describes a variety of machine learning methods, including rote learning, inductive learning, analogy learning , explained learning, learning based on neural network and knowledge discovery and so on. This paper also brings foreword the objectives of machine learning, and points out the development trend of machine learning.
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