GOUGE
发表于 2025-3-25 03:52:27
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鲁莽
发表于 2025-3-25 11:25:02
Advances, the K-Contractive Map: A Supervised Version of Auto-CM,This section is devoted to a more advanced type of Auto-CM that is supervised.
NATAL
发表于 2025-3-25 14:53:10
Comparison of Auto-CM to Various Other Data Understanding Approaches,We compare Auto-CM with various other methods that extract patterns from data. The way that we measure the results of comparisons uses MST.
invade
发表于 2025-3-25 17:39:34
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牛的细微差别
发表于 2025-3-25 20:36:09
Kate Hudgins,Steven William Durostetworks is to extract from data the underlying model that relates this data as an input/output (domain/range) pair. This is quite different from the way most mathematical modeling processes operate. Most mathematical modeling processes normally impose on the given data a model from which the input t
不满分子
发表于 2025-3-26 03:36:21
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BLOT
发表于 2025-3-26 06:32:51
Kate Hudgins,Steven William Durosttransformation of datasets for the purpose of extracting further relationships among data elements. The first transformation we call the FS-Transform, which looks beyond an all or nothing, binary relationship that is typical of most ANNs. The extraction of these perhaps more subtle relationships can
抑制
发表于 2025-3-26 11:27:28
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策略
发表于 2025-3-26 15:38:05
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债务
发表于 2025-3-26 17:18:09
Artificial Adaptive Systems Using Auto Contractive Maps978-3-319-75049-1Series ISSN 2198-4182 Series E-ISSN 2198-4190