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

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Dawei Feng,Kele Xu,Haibo Mi,Feifan Liao,Yan Zhou m, is small. Only trivial results will be obtained if m < 4. If m = 4 but one of the open variances is small relative to the others, the situation is little changed. Even if open variances do not differ greatly in size, or are homogeneous, there will be a complementary relationship between s. and s
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Jiří Kučera,Roman Barták nature usually does not reflect this assumption and we are forced to subdivide our model area into stationary regions that have some common geological controls and similar statistical properties. This paper addresses the significant complexity introduced by boundaries. Boundaries are often soft, th
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Haruya Umemoto,Tetsuya Toyota,Kouzou Oharapattern-growth algorithm (GrowthSim) is presented in this paper that performs multiple point spatial simulation of patterns conditioned to multiple point data. Starting from conditioning data locations, patterns are grown constrained to the pattern statistics inferred from a training image. This is
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Fatimah B. Abdullahi,Frans Coenenng these training images, particularly for continuous variables, can be a labor-intensive process without any guarantee that the true high-order statistics of the deposit are accurately represented. This work proposes a decomposition of a high-order statistic (moment) into a set of weighted sums tha
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Juan Gonzalez-Dominguez,Peter Buschng these training images, particularly for continuous variables, can be a labor-intensive process without any guarantee that the true high-order statistics of the deposit are accurately represented. This work proposes a decomposition of a high-order statistic (moment) into a set of weighted sums tha
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