期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

预测状态表示综述 被引量：1

Survey on predictive representations of state
原文传递
导出
摘要 预测状态表示(predictive state representations,PSR)是一种新型的动态系统模型,用动作-观察值序列的预测向量来表示系统的状态以及预测未来事件发生的概率。综述了预测状态表示的基本原理,对其建模算法进行比较,并概括其最新的应用拓展,最后指出其发展方向。 Predictive state representations（PSR） is a novel method for modeling discrete dynamic systems.PSR represents the system′s state using a set of prediction vectors of action-observation sequence.It surveyed basic concepts,problems,methods and latest extended applications of PSR,and points out the development future of the PSR model.
作者 王历 高阳 王巍巍
机构地区 南京大学计算机软件新技术国家重点实验室
出处 《山东大学学报（工学版）》 CAS 北大核心 2010年第4期23-28,共6页 Journal of Shandong University（Engineering Science）
基金 国家自然科学基金资助项目(60775046)
关键词 线性预测状态表示 寻找核心测试集 学习模型参数 linear predictive state representations discovering core tests learning parameters
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
  • 相关文献

参考文献22

  • 1LITTMAN Michael, SUTTON Richard. Predictive representations of state[J]. Advances in Neural Information Processing System, 2002 (2) : 1555-1561.
  • 2SINGH Satinder, JAMES Michael. Predictive state representations: a new theory for modeling dynamical systems [ C]//Proceedings of Uncertainty in Artificial Intelligence, 2004. California: AUAI Press, 2004: 512-519.
  • 3Gene Golub, Van Loan. Matrix computations 3rd edition [M]. Baltimore: The Johns Hopkins University Press, 1996.
  • 4JAMES Michael, SINGH Satinder. Learning and discovery of predictive state representations in dynamical systems with reset[ C] //Proceedings of International Conference on Machine Learning, 2004. New York: ACM press, 2004:719-726.
  • 5SINGH Satinder, LITTMAN Michael, JONG Nicholas, et al. Learning predictive state representations [ C ]// Proceedings of International Conference on Machine Learning, 2003. New York: ACM press, 2003: 712-719.
  • 6WOLFE Britton, JAMES Michael, SINGH Satinder. Learning predictive state representations in dynamical systems without reset [C]// Proceedings of International Conference on Machine Learning, 2005. New York: ACM Press, 2005 : 980-987.
  • 7MCCRAKEN Peter, BOWLING Michael. Online discovery and learning of predictive state representations [ J ]. Advances in Neural Information Processings Systems, 2006(18) : 875-882.
  • 8JAMES Michael, SINGH Satinder. Planning in models that combine memory with predictive representations of state [ C ]//Proceedings of Association for the Advancement of Artificial Intelligence, 2005. Pittsburgh, Pennsylvania: AAAI Press, 2005: 987-992.
  • 9WIEWIORA Eric. Learning predictive representations from a history[ C]// Proceedings of International Conference on Machine Learning, 2003. New York: ACM Press, 2003: 712-719.
  • 10RUDARY Matthew, SINGH Satinder. A non-linear predictive state representation [ C ]// Proceedingss of Advances in Neural Information Processing Systems 2003. Cambridge: MIT Press, 2003: 855-862.

同被引文献19

  • 1杨智懿,熊亚选,张乾林.工作面瓦斯涌出量的神经网络模型预测研究[J].煤炭工程,2004,36(10):73-75. 被引量：25
  • 2薛鹏骞,吴立锋,李海军.基于小波神经网络的瓦斯涌出量预测研究[J].中国安全科学学报,2006,16(2):22-25. 被引量：27
  • 3张翔,肖小玲,徐光祐.基于最大熵估计的支持向量机概率建模[J].控制与决策,2006,21(7):767-770. 被引量：12
  • 4付华,许振良.煤矿瓦斯灾害特征提取与信息整合技术研究[D].辽宁:辽宁工程技术大学,2006:58-83.
  • 5杨敏,李瑞霞,汪云甲.煤一瓦斯突出的粗神经网络预测模型研究[J].计算机应用与工程,2010,46(6):241-244.
  • 6KARACAN C O. Modeling and prediction of ventilation methane emissions of U. S. long wall mines using supervised artificial neural networks[J]. International Journal of Coal Geology, 2008, 73(3-4) :371-378.
  • 7ZHANG Sheng, WANG Weihong, Ford James, et al. Using singular value decomposition approximation for collaborative filtering [C]// Proceedings of 7th IEEE International Conference on E-cormmerce Technology. California, USA: IEEE, 2005: 257-264.
  • 8JEAN G. Singular value decomposition(SVD) and polar form[ J ]. Geometric Methods and Applications, 2011, 1 (38) :367-385.
  • 9AHMAD A M. A new digital image watermarking scheme based on Schur decomposition [J]. Multimedia Tools and Applications, 2012, 59(3):851-883.
  • 10FU Hua, HUA Ming. Application of data fusion to environmental measurement in coal mine [C]// Proceedings of the 3th International Symposium on Precision Measurements. California, USA : AAAI, 2006 : 1-6.

引证文献1

二级引证文献2

山东大学学报（工学版）
2010年 第4期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部