COMMON-SENSE SUPPORT FOR AUTONOMOUS AND ROBUST DECISION MAKI NG
暂无分享,去创建一个
[1] Cheng Ma,et al. The Application of a New Entropy Function and Mutative Scale Chaos Optimization Strategy in Two-Dimensional Entropic Image Segmentation , 2006, 2006 International Conference on Computational Intelligence and Security.
[2] Santosh S. Vempala,et al. The geometry of logconcave functions and sampling algorithms , 2007, Random Struct. Algorithms.
[3] J. Paris. The Uncertain Reasoner's Companion: A Mathematical Perspective , 1994 .
[4] S. V. N. Vishwanathan,et al. A quasi-Newton approach to non-smooth convex optimization , 2008, ICML '08.
[5] Jeff B. Paris,et al. Common sense and stochastic independence , 2001 .
[6] Jeff B. Paris,et al. In defense of the maximum entropy inference process , 1997, Int. J. Approx. Reason..
[7] Santosh S. Vempala,et al. Fast Algorithms for Logconcave Functions: Sampling, Rounding, Integration and Optimization , 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).
[8] W. Hörmann,et al. Automatic random variate generation for simulation input , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).
[9] Jeff B. Paris,et al. A note on the inevitability of maximum entropy , 1990, Int. J. Approx. Reason..
[10] Thomas Lukasiewicz,et al. Combining probabilistic logic programming with the power of maximum entropy , 2004, Artif. Intell..