cinder
发表于 2025-3-26 22:06:47
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Negligible
发表于 2025-3-27 02:37:36
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conservative
发表于 2025-3-27 08:07:12
On the Roles of Galois Connections in Classificationuses, we select some topics related with modelization and aggregat ion of dissimilarities and conceptual classification. We partially revisit them in a common frame provided by a recent study about Galois connections between closure spaces.
过多
发表于 2025-3-27 12:49:17
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热情的我
发表于 2025-3-27 15:47:20
Spatial Smoothing with Robust Priors in Functional MRIvated by a particular stimulus requires elaborate models and efficient algorithms. Based on regressionmodels of the observedMR signals on the presented stimulus, pixelwise and spatial techniques have been applied. Besides describing the stimulus dependence of the MR signal, the latter also include s
鼓掌
发表于 2025-3-27 19:54:17
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Popcorn
发表于 2025-3-28 01:45:04
Two Models of Random Intersection Graphs for Classificationom bipartite graph .. on .+. vertices. In particular, we focus on the distr ibution of the number of isolated vertices, and on the distribution of the vertex degrees. These results are applied to study the asymptotic properties of such random intersection graphs for the special case that the distrib
精确
发表于 2025-3-28 02:35:32
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Feature
发表于 2025-3-28 07:54:41
Constrained Correspondence Analysis for Seriation in Archaeology Applied to Sagalassos Ceramic Tablehat no explicit time frames are obtained, only a relative ordering. However, in some cases additional information is available allowing absolute dating of some of the deposits. Such explicit dating information may be obtained from associated categories of finds, such as coin series. Additional infor
daredevil
发表于 2025-3-28 13:02:12
The Moment Preservation Method of Cluster Analysisotivated by mixture models. A brief description of this technique is as follows. If . clusters are to be determined, then 2. − 1 linearly independent functions of the data are calculated. (In many of the applications that I have encountered, these are the first 2. − 1 sample moments.) For univariate