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Titlebook: Knowledge Discovery, Knowledge Engineering and Knowledge Management; 10th International J Ana Fred,Ana Salgado,Joaquim Filipe Conference pr

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發(fā)表于 2025-3-27 00:20:02 | 只看該作者
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發(fā)表于 2025-3-27 11:10:28 | 只看該作者
https://doi.org/10.1007/978-3-030-49559-6artificial intelligence; classification methods; clustering algorithms; computer networks; computer prog
35#
發(fā)表于 2025-3-27 14:44:33 | 只看該作者
(these are also defined by Kostant but we present a directly geometrical definition which is more convenient for our purposes), vector bundles, and principal bundles..With these notions in place, we can define a graded G-structure on a graded manifold In the simplest non-trivial case, this leads imm
36#
發(fā)表于 2025-3-27 21:07:47 | 只看該作者
ing method performs well and elicits the universality class correctly for many continuous phase transitions. However, for the Kosterlitz-Thouless transition where the correlation length exponentially diverges at the critical point, this conventional scaling method does not work practically because e
37#
發(fā)表于 2025-3-28 01:00:52 | 只看該作者
Nawal Almutairi,Frans Coenen,Keith Dureser. As we explained in Chap.?., the conventional quantum Monte Carlo methods cannot efficiently calculate the model. Then, for overcoming the difficulty, we will apply the new Monte Carlo update techniques and the analysis that we developed in Chap.?.–.. We will show the precise transition point and
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