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| 人工智能若干前沿技术及其在信息对抗中的应用展望 | |
| 引用本文： | 徐从富 陈峰 范晶. 人工智能若干前沿技术及其在信息对抗中的应用展望[J]. 通信对抗, 2007, 0(3): 8-11 |
| 作者姓名： | 徐从富 陈峰 范晶 |
| 作者单位： | 浙江大学计算机学院 浙江杭州310027(徐从富，范晶)，浙江省公安厅科技处 浙江杭州310009(陈峰) |
| 基金项目： | 国家自然科学基金(No.60402010)，浙江省自然科学基金(No.Y105250) |
| 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。 |
| 关 键 词： | 人工智能 机器学习 数据挖掘 信息对抗 |
| 收稿时间： | 2007-07-24 |
| 修稿时间： | 2007-07-24 |
Advanced Artificial Intelligence Techniques and Their Applications in Information Countermeasure |
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| XU Cong-fu, CHEN Feng, FAN Jing. Advanced Artificial Intelligence Techniques and Their Applications in Information Countermeasure[J]. Communication Countermeasures, 2007, 0(3): 8-11 | |
| Authors: | XU Cong-fu CHEN Feng FAN Jing |
| Abstract: | 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 probabilistic 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. |
| Keywords: | artificial intelligence machine learning data mining information countermeasure |
| 本文献已被 CNKI 维普 等数据库收录！ | |