Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 15th Pacific Rim Kno Kenichi Yoshida,Maria Lee Conference proceedings 2018 Sp

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Mira Park,Peter Summonsh grade level, then defining the R.F. at each point by taking the minimal grade value for the l’s at this point. In such R.F. the behaviour of the grades above any cut-off is independent of their field. Using Boolean schemes for the 0-1 random sets leads to a simple change of support formula, which

协议

Yang Liu,Qingguo Zeng,Huanrui Yang,Adrian Carrio real-world phenomena. This is particularly true for probabilistic models, in which conventional time-honored observations do not always provide critical data for discrimination among competing models. The spatial implications of the models require critical examination supported by new types of fiel

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Dawei Feng,Kele Xu,Haibo Mi,Feifan Liao,Yan Zhouassociation between open variables known to be uncorrelated, is large if m is small but decreases rapidly with increase in m. Except when the open variances are homogeneous, however, it seems to be materially greater than expected even if m = 10, the largest value used in the work reported here.

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Fatimah B. Abdullahi,Frans Coenents. Experimental results on sparse data sets indicate that the approximations perform much better than using the actual .-point moments on the same data. Additionally, the quality of the approximation does not appear to degrade significantly for higher-orders because it is able to use more informati

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Juan Gonzalez-Dominguez,Peter Buschts. Experimental results on sparse data sets indicate that the approximations perform much better than using the actual .-point moments on the same data. Additionally, the quality of the approximation does not appear to degrade significantly for higher-orders because it is able to use more informati

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Wenli Yang,Saurabh Garg,Ali Raza,David Herbert,Byeong Kangncorporated into a gaussian stochastic model in order to characterise the reservoir and then the fluid flow is simulated..The sand percentage estimated from the seismic attributes can be introduced into the stochastic model. The models with and without seismic constraints are compared first from a g