Equations describing facies proportions and amalgamation ratios are derived for randomly placed objects belonging to two or three foreground facies embedded in a background facies, as a function of the volume fraction...
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Equations describing facies proportions and amalgamation ratios are derived for randomly placed objects belonging to two or three foreground facies embedded in a background facies, as a function of the volume fractions and object thicknesses of independent facies models combined in a stratigraphically meaningful order. The equations are validated using one-dimensional continuum models. Evaluation of the equations reveals a simple relationship between an effective facies proportion and an effective amalgamation ratio, both measured as a function only of the facies in question and the background facies. This relationship provides a firm analytical basis for applying the compression algorithm to multi-facies object-basedmodels. A set of two-dimensional cross-sectional models illustrates the approach, which allows models to be generated with realistic object stacking characteristics defined independently for each facies in a multi-facies object-basedmodel.
Nowadays, e-mail spam is not a novelty, but it is still an important problem with a high impact on the economy. Spam filtering poses a special problem in text categorization, in which the defining characteristic is th...
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Nowadays, e-mail spam is not a novelty, but it is still an important problem with a high impact on the economy. Spam filtering poses a special problem in text categorization, in which the defining characteristic is that filters face an active adversary, which constantly attempts to evade filtering. In this paper, we present a novel approach to spam filtering based on a compression-based model. We have conducted an empirical experiment on eight public and real non-encoded datasets. The results indicate that the proposed filter is fast to construct, is incrementally updateable, and clearly outperforms established spam classifiers. Copyright (c) 2012 John Wiley & Sons, Ltd.
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