摘要
讨论了机器学习、数据挖掘、统计学习理论与支持向量机的研究现状,简要介绍了近年来涌现的一些比较前沿的新方法,如概率图模型、马尔可夫逻辑网络等。在此基础上,结合信息对抗的需求和特点,初步探讨了这些AI技术和方法在信息对抗中的可能应用。
In this paper, we discuss research advances in machine learning, data mining, statistical learning theory and support vector machine, and briefly introduce some novel artificial intelligence (AI) techniques that have just been presented in recent years, such as probabihstic graphical models, Markov logic networks etc. In the meantime, according to the requirements and characteristics of information countermeasure, we discuss some possible applications of the above novel AI techniques in information countermeasure.
出处
《通信对抗》
2007年第3期8-11,共4页
Communication Countermeasures
基金
国家自然科学基金(No.60402010)
浙江省自然科学基金(No.Y105250)
关键词
人工智能
机器学习
数据挖掘
信息对抗
artificial intelligence
machine learning
data mining information countermeasure